Dataset updated on 2025-08-02 15:55 UTC
Browse files- AWSB2Bi.csv +0 -0
- AWSCleanRooms.csv +33 -0
- AWSDatabaseMigrationSvc.csv +0 -0
- AWSDirectConnect.csv +2 -2
- AWSDirectoryService.csv +54 -0
- AWSGreengrass.csv +16 -14
- AWSIoT.csv +0 -0
- AWSIoTSiteWise.csv +9 -0
- AWSNetworkFirewall.csv +6 -0
- AWSR53AppRecoveryController.csv +1 -0
- AmazonBedrock.csv +12 -0
- AmazonCognito.csv +0 -0
- AmazonConnect.csv +3 -0
- AmazonConnectCases.csv +1 -0
- AmazonDocDB.csv +0 -0
- AmazonDynamoDB.csv +0 -0
- AmazonEC2.csv +2 -2
- AmazonES.csv +2 -2
- AmazonKinesisVideo.csv +0 -0
- AmazonRDS.csv +2 -2
- AmazonRedshift.csv +0 -0
- AmazonSES.csv +0 -0
- AmazonWorkSpaces.csv +0 -0
- ContactCenterTelecomm.csv +1 -1
- ContactLensAmazonConnect.csv +58 -58
- IoTDeviceDefender.csv +0 -0
- IoTDeviceManagement.csv +0 -0
AWSB2Bi.csv
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AWSCleanRooms.csv
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@@ -158,6 +158,7 @@
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| 158 |
"4N2HWQG2ZY9QRVJF","JRTCKXETXF","4N2HWQG2ZY9QRVJF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","12.7300000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_G5_24XLARGE","CreateTrainedModel",,"Training-ML_G5_24XLARGE","eu-central-1","AWS Clean Rooms"
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| 159 |
"4N7KCJHGSFBQZTAW","JRTCKXETXF","4N7KCJHGSFBQZTAW.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.6080000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_M6I_16XLARGE","CreateTrainedModel",,"Training-ML_M6I_16XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 160 |
"4N8D6MTXGCATF2X3","JRTCKXETXF","4N8D6MTXGCATF2X3.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1270000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_T3_LARGE","CreateTrainedModel",,"Training-ML_T3_LARGE","ap-southeast-1","AWS Clean Rooms"
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| 161 |
"4NDHQQVUVT7U9KQV","JRTCKXETXF","4NDHQQVUVT7U9KQV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5140000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M5_2XLARGE","CreateTrainedModel",,"Training-ML_M5_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 162 |
"4NVANS2CFHGX65TG","JRTCKXETXF","4NVANS2CFHGX65TG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.6900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_G5_2XLARGE","CreateTrainedModel",,"Training-ML_G5_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 163 |
"4PJ68NJEX75ANAH7","JRTCKXETXF","4PJ68NJEX75ANAH7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.2080000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_M6I_8XLARGE","CreateTrainedModel",,"Training-ML_M6I_8XLARGE","eu-central-1","AWS Clean Rooms"
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@@ -241,8 +242,10 @@
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| 241 |
"5V5ESWG67E9SKUW8","JRTCKXETXF","5V5ESWG67E9SKUW8.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","eu-north-1","AWS Clean Rooms"
|
| 242 |
"5VZG2PDUURN9CQAT","JRTCKXETXF","5VZG2PDUURN9CQAT.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_M7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_XLARGE","us-west-2","AWS Clean Rooms"
|
| 243 |
"5W59HJZ7KJM942BG","JRTCKXETXF","5W59HJZ7KJM942BG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1400000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_M7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_LARGE","eu-west-2","AWS Clean Rooms"
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| 244 |
"5XRWBNRZ472RJJPT","JRTCKXETXF","5XRWBNRZ472RJJPT.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","7.0740000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_G4DN_16XLARGE","CreateTrainedModel",,"Training-ML_G4DN_16XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 245 |
"5YSS7HW5Z6J32TW9","JRTCKXETXF","5YSS7HW5Z6J32TW9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.9310000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_C5_18XLARGE","CreateTrainedModel",,"Training-ML_C5_18XLARGE","eu-north-1","AWS Clean Rooms"
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| 246 |
"633CSZ2F5HAS7ZEG","JRTCKXETXF","633CSZ2F5HAS7ZEG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3130000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 247 |
"635M7TA7ZEFFKPQ6","JRTCKXETXF","635M7TA7ZEFFKPQ6.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0460000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C5N_9XLARGE","CreateTrainedModel",,"Training-ML_C5N_9XLARGE","ap-southeast-2","AWS Clean Rooms"
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| 248 |
"63E4JGMJJAA65DBQ","JRTCKXETXF","63E4JGMJJAA65DBQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$4.68 per CRPU-Hr for CleanRooms-PySpark-Compute:RunPySparkAnalysis in Asia Pacific (Seoul)","2025-07-01","0","Inf","CRPU-Hr","4.6800000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-CleanRooms-PySpark-Compute","RunPySparkAnalysis","PySpark",,"ap-northeast-2","AWS Clean Rooms"
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@@ -250,6 +253,7 @@
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| 250 |
"64MTH68UWECS5MQF","JRTCKXETXF","64MTH68UWECS5MQF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2830000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M5_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 251 |
"64Z56FW7NBHVDXSR","JRTCKXETXF","64Z56FW7NBHVDXSR.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.6320000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_C6I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_8XLARGE","us-east-2","AWS Clean Rooms"
|
| 252 |
"656TSNY8GT9MB5JH","JRTCKXETXF","656TSNY8GT9MB5JH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4800000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_M4_2XLARGE","CreateTrainedModel",,"Training-ML_M4_2XLARGE","us-east-2","AWS Clean Rooms"
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| 253 |
"66DH8TZQU6TQWWHZ","JRTCKXETXF","66DH8TZQU6TQWWHZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.41 per CRPU-Hr for CleanRooms-SQL-Compute:RunCustomSQLDifferentialPrivacy in EU (Frankfurt)","2025-07-01","0","Inf","CRPU-Hr","2.4100000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-CleanRooms-SQL-Compute","RunCustomSQLDifferentialPrivacy","CustomSQLDifferentialPrivacy",,"eu-central-1","AWS Clean Rooms"
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| 254 |
"66NDBARPS5SCBG8H","JRTCKXETXF","66NDBARPS5SCBG8H.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2330000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C5_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_XLARGE","eu-central-1","AWS Clean Rooms"
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| 255 |
"66X6XCQWHD47V6VG","JRTCKXETXF","66X6XCQWHD47V6VG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9550000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C4_4XLARGE","CreateTrainedModel",,"Training-ML_C4_4XLARGE","us-east-2","AWS Clean Rooms"
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@@ -275,6 +279,7 @@
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| 275 |
"6GAA9QBUHVF2ZQ4X","JRTCKXETXF","6GAA9QBUHVF2ZQ4X.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","28.1520000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_P3_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P3_16XLARGE","us-east-1","AWS Clean Rooms"
|
| 276 |
"6GEZDR3GFJC3SHB7","JRTCKXETXF","6GEZDR3GFJC3SHB7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4060000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_XLARGE","CreateTrainedModel",,"Training-ML_R5D_XLARGE","eu-west-2","AWS Clean Rooms"
|
| 277 |
"6GR2TEJH5XHAT7BM","JRTCKXETXF","6GR2TEJH5XHAT7BM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.9088000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_C6I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_12XLARGE","eu-west-2","AWS Clean Rooms"
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| 278 |
"6HJPUUAK2GTH3UPQ","JRTCKXETXF","6HJPUUAK2GTH3UPQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.3060000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_C5N_4XLARGE","CreateTrainedModel",,"Training-ML_C5N_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 279 |
"6HN9FHC5C298J6J7","JRTCKXETXF","6HN9FHC5C298J6J7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1460000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_R5_16XLARGE","CreateTrainedModel",,"Training-ML_R5_16XLARGE","eu-north-1","AWS Clean Rooms"
|
| 280 |
"6HUN72ATUNZDCY6W","JRTCKXETXF","6HUN72ATUNZDCY6W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_T3_LARGE","CreateTrainedModel",,"Training-ML_T3_LARGE","ap-northeast-2","AWS Clean Rooms"
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@@ -298,6 +303,7 @@
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| 298 |
"6VKHUKMMQEMXPFDU","JRTCKXETXF","6VKHUKMMQEMXPFDU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1410000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C7I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_24XLARGE","us-east-1","AWS Clean Rooms"
|
| 299 |
"6W56KB4HAJXE7FCU","JRTCKXETXF","6W56KB4HAJXE7FCU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","7.2580000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_R5_24XLARGE","CreateTrainedModel",,"Training-ML_R5_24XLARGE","us-west-2","AWS Clean Rooms"
|
| 300 |
"6WA9AMNRMRZEFQDH","JRTCKXETXF","6WA9AMNRMRZEFQDH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","7.1420000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_M5_24XLARGE","CreateTrainedModel",,"Training-ML_M5_24XLARGE","ap-northeast-1","AWS Clean Rooms"
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| 301 |
"6X2NV87MVBRZDY6S","JRTCKXETXF","6X2NV87MVBRZDY6S.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.9120000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 302 |
"6XXTJQQH5UDCVVRM","JRTCKXETXF","6XXTJQQH5UDCVVRM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.6864000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_C6I_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_16XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 303 |
"6YJ4U7MXNSNRNBKX","JRTCKXETXF","6YJ4U7MXNSNRNBKX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1900000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_C5N_4XLARGE","CreateTrainedModel",,"Training-ML_C5N_4XLARGE","ap-southeast-1","AWS Clean Rooms"
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@@ -392,6 +398,7 @@
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| 392 |
"8NA2BKMYTCJFENWV","JRTCKXETXF","8NA2BKMYTCJFENWV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2140000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_XLARGE","us-east-1","AWS Clean Rooms"
|
| 393 |
"8PR7R8CH2FJHA9B7","JRTCKXETXF","8PR7R8CH2FJHA9B7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2710000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C4_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C4_XLARGE","eu-west-1","AWS Clean Rooms"
|
| 394 |
"8PWYHYM4ZN6ZCXUF","JRTCKXETXF","8PWYHYM4ZN6ZCXUF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3990000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_T3_2XLARGE","CreateTrainedModel",,"Training-ML_T3_2XLARGE","us-east-2","AWS Clean Rooms"
|
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|
|
| 395 |
"8R9C836PFYF88BDZ","JRTCKXETXF","8R9C836PFYF88BDZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.04 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0000400000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CreateAudienceModel","CreateAudienceModel",,"Training","ap-northeast-1","AWS Clean Rooms"
|
| 396 |
"8SD8M4RNBBMYD8KG","JRTCKXETXF","8SD8M4RNBBMYD8KG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.2440000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_8XLARGE","CreateTrainedModel",,"Training-ML_R5D_8XLARGE","eu-west-2","AWS Clean Rooms"
|
| 397 |
"8SM6EWCT7Q93CYDA","JRTCKXETXF","8SM6EWCT7Q93CYDA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.25 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0002500000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-StartAudienceExportJob","StartAudienceExportJob",,"Inference","us-east-2","AWS Clean Rooms"
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@@ -493,6 +500,7 @@
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| 493 |
"AC6KTWZBKJ2UUU6G","JRTCKXETXF","AC6KTWZBKJ2UUU6G.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8740000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_C6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_4XLARGE","eu-north-1","AWS Clean Rooms"
|
| 494 |
"ACTRBC9EAQDR393M","JRTCKXETXF","ACTRBC9EAQDR393M.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.6720000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C5_18XLARGE","CreateTrainedModel",,"Training-ML_C5_18XLARGE","us-east-2","AWS Clean Rooms"
|
| 495 |
"ADNF3YUS5G94AU5H","JRTCKXETXF","ADNF3YUS5G94AU5H.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8160000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C5_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_4XLARGE","us-east-1","AWS Clean Rooms"
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|
|
| 496 |
"AECDU4GPGQRBQAFG","JRTCKXETXF","AECDU4GPGQRBQAFG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2390000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","us-east-1","AWS Clean Rooms"
|
| 497 |
"AFDCGJPVZJFT5276","JRTCKXETXF","AFDCGJPVZJFT5276.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2930000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 498 |
"AGXQSQQAE72HZ3C2","JRTCKXETXF","AGXQSQQAE72HZ3C2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","14.6880000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_P3_8XLARGE","CreateTrainedModel",,"Training-ML_P3_8XLARGE","us-west-2","AWS Clean Rooms"
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@@ -525,6 +533,7 @@
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|
| 525 |
"AZ5DXJNR6NJZ8HBV","JRTCKXETXF","AZ5DXJNR6NJZ8HBV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9220000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_M6I_4XLARGE","CreateTrainedModel",,"Training-ML_M6I_4XLARGE","us-east-1","AWS Clean Rooms"
|
| 526 |
"AZCC7A3SGCJVJKKJ","JRTCKXETXF","AZCC7A3SGCJVJKKJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8430000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M6I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_8XLARGE","us-east-2","AWS Clean Rooms"
|
| 527 |
"AZND7RZN48HSKYBC","JRTCKXETXF","AZND7RZN48HSKYBC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5660000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 528 |
"B2E4KGU7ZFJ3VWST","JRTCKXETXF","B2E4KGU7ZFJ3VWST.JRTCKXETXF.6YS6EN2CT7","OnDemand","$3.84 per CRPU-Hr for CleanRooms-PySpark-Compute:RunPySparkAnalysis in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","3.8400000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-PySpark-Compute","RunPySparkAnalysis","PySpark",,"us-west-2","AWS Clean Rooms"
|
| 529 |
"B2HAYVYBSAYRJKHC","JRTCKXETXF","B2HAYVYBSAYRJKHC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1280000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M5_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_LARGE","eu-west-1","AWS Clean Rooms"
|
| 530 |
"B2S94UDCN4C5SSEU","JRTCKXETXF","B2S94UDCN4C5SSEU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8110000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_2XLARGE","CreateTrainedModel",,"Training-ML_R5D_2XLARGE","eu-west-2","AWS Clean Rooms"
|
|
@@ -556,6 +565,7 @@
|
|
| 556 |
"BEUSEGE38WCBZ9QS","JRTCKXETXF","BEUSEGE38WCBZ9QS.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2930000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 557 |
"BFD3B9N8XJZFEHN9","JRTCKXETXF","BFD3B9N8XJZFEHN9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.4480000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_C6I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_12XLARGE","us-west-2","AWS Clean Rooms"
|
| 558 |
"BFSHBBHAC9KGGJ4M","JRTCKXETXF","BFSHBBHAC9KGGJ4M.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4180000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_R5D_XLARGE","CreateTrainedModel",,"Training-ML_R5D_XLARGE","ap-southeast-1","AWS Clean Rooms"
|
|
|
|
| 559 |
"BH5K95VABARZ635J","JRTCKXETXF","BH5K95VABARZ635J.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2390000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","us-east-2","AWS Clean Rooms"
|
| 560 |
"BH5U9FX5TPYCM3M5","JRTCKXETXF","BH5U9FX5TPYCM3M5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_C4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C4_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 561 |
"BHXFZJRHBCU8EPGR","JRTCKXETXF","BHXFZJRHBCU8EPGR.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","25.4600000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_G5_48XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_48XLARGE","eu-central-1","AWS Clean Rooms"
|
|
@@ -613,12 +623,14 @@
|
|
| 613 |
"CBYX7R8Z2HSKQMQK","JRTCKXETXF","CBYX7R8Z2HSKQMQK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2720000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","eu-central-1","AWS Clean Rooms"
|
| 614 |
"CDHTTG7PGG5JQKZ2","JRTCKXETXF","CDHTTG7PGG5JQKZ2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.5453100000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_TRN1_2XLARGE","CreateTrainedModel",,"Training-ML_TRN1_2XLARGE","us-east-2","AWS Clean Rooms"
|
| 615 |
"CDPY7AQTUNVRCUX6","JRTCKXETXF","CDPY7AQTUNVRCUX6.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.2640000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","us-east-2","AWS Clean Rooms"
|
|
|
|
| 616 |
"CE3XHCFANDVEBA6T","JRTCKXETXF","CE3XHCFANDVEBA6T.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.865 per CRPU-Hr for CleanRooms-SQL-Compute:RunSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","0.8650000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CleanRooms-SQL-Compute","RunSQLAnalysis","SQL",,"ap-northeast-1","AWS Clean Rooms"
|
| 617 |
"CEZJZK7UZ9R65NP7","JRTCKXETXF","CEZJZK7UZ9R65NP7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_M4_2XLARGE","CreateTrainedModel",,"Training-ML_M4_2XLARGE","eu-west-2","AWS Clean Rooms"
|
| 618 |
"CF53Z9U9A3B3J2B5","JRTCKXETXF","CF53Z9U9A3B3J2B5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1040000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_T3_LARGE","CreateTrainedModel",,"Training-ML_T3_LARGE","eu-north-1","AWS Clean Rooms"
|
| 619 |
"CGRUC9HNJRPMG9YU","JRTCKXETXF","CGRUC9HNJRPMG9YU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2350000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_C6I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 620 |
"CH2H4WCG6EAZNYXC","JRTCKXETXF","CH2H4WCG6EAZNYXC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","14.7600000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_G5_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_24XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 621 |
"CHFNXWTYGQUVGFFK","JRTCKXETXF","CHFNXWTYGQUVGFFK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.1630000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 622 |
"CJ9DNWBP2ENB96QZ","JRTCKXETXF","CJ9DNWBP2ENB96QZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5140000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_C5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_2XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 623 |
"CJN2BCQG7X28UD8Y","JRTCKXETXF","CJN2BCQG7X28UD8Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.2640000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","us-west-2","AWS Clean Rooms"
|
| 624 |
"CJVZC4VHN8XJCZEK","JRTCKXETXF","CJVZC4VHN8XJCZEK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.3780000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_R5_12XLARGE","CreateTrainedModel",,"Training-ML_R5_12XLARGE","eu-central-1","AWS Clean Rooms"
|
|
@@ -626,6 +638,7 @@
|
|
| 626 |
"CKJQVW5VR38CRB63","JRTCKXETXF","CKJQVW5VR38CRB63.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.3940000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","eu-west-2","AWS Clean Rooms"
|
| 627 |
"CKR38UTUMVQ43WKC","JRTCKXETXF","CKR38UTUMVQ43WKC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_G5_8XLARGE","CreateTrainedModel",,"Training-ML_G5_8XLARGE","us-east-1","AWS Clean Rooms"
|
| 628 |
"CKXYXXP3C5F2WUEM","JRTCKXETXF","CKXYXXP3C5F2WUEM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8380000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_R5_16XLARGE","CreateTrainedModel",,"Training-ML_R5_16XLARGE","us-east-2","AWS Clean Rooms"
|
|
|
|
| 629 |
"CMYGXJ8MVDSRQ54G","JRTCKXETXF","CMYGXJ8MVDSRQ54G.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1440000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_M6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_LARGE","ap-southeast-2","AWS Clean Rooms"
|
| 630 |
"CMZB7EUYJMNJ8S7T","JRTCKXETXF","CMZB7EUYJMNJ8S7T.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_M4_10XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_10XLARGE","us-east-1","AWS Clean Rooms"
|
| 631 |
"CP32XS9ZYKX8UCYB","JRTCKXETXF","CP32XS9ZYKX8UCYB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_C6I_XLARGE","CreateTrainedModel",,"Training-ML_C6I_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
|
@@ -702,6 +715,7 @@
|
|
| 702 |
"DT38FQDCJH2JPARP","JRTCKXETXF","DT38FQDCJH2JPARP.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_XLARGE","eu-west-1","AWS Clean Rooms"
|
| 703 |
"DTZBV66WM57MD3ED","JRTCKXETXF","DTZBV66WM57MD3ED.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9408000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_C6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_4XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 704 |
"DU8TUUSZZRU2YU26","JRTCKXETXF","DU8TUUSZZRU2YU26.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0820000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M6I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_12XLARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 705 |
"DVRC6VT2JZMDJZX2","JRTCKXETXF","DVRC6VT2JZMDJZX2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.0000000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_G4DN_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G4DN_8XLARGE","eu-west-1","AWS Clean Rooms"
|
| 706 |
"DVYEPVP5W5428WPV","JRTCKXETXF","DVYEPVP5W5428WPV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.25 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0002500000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-StartAudienceExportJob","StartAudienceExportJob",,"Inference","eu-central-1","AWS Clean Rooms"
|
| 707 |
"DWDKY4F6B8GM8ZCH","JRTCKXETXF","DWDKY4F6B8GM8ZCH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8960000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","us-east-1","AWS Clean Rooms"
|
|
@@ -730,6 +744,7 @@
|
|
| 730 |
"E6DPFPCJXZ36WJ6T","JRTCKXETXF","E6DPFPCJXZ36WJ6T.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8360000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C5_9XLARGE","CreateTrainedModel",,"Training-ML_C5_9XLARGE","us-west-2","AWS Clean Rooms"
|
| 731 |
"E79UANDA5QKBMX93","JRTCKXETXF","E79UANDA5QKBMX93.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","20.3600000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_G5_48XLARGE","CreateTrainedModel",,"Training-ML_G5_48XLARGE","us-east-1","AWS Clean Rooms"
|
| 732 |
"E7H9XE5ERC2HSE75","JRTCKXETXF","E7H9XE5ERC2HSE75.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_T3_XLARGE","CreateTrainedModel",,"Training-ML_T3_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 733 |
"E7WJGU3FRPXGB3FK","JRTCKXETXF","E7WJGU3FRPXGB3FK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C4_4XLARGE","CreateTrainedModel",,"Training-ML_C4_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 734 |
"E7WW3MFNXXRGBA8W","JRTCKXETXF","E7WW3MFNXXRGBA8W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.6720000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_C5_18XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_18XLARGE","us-west-2","AWS Clean Rooms"
|
| 735 |
"E94KJQMBWGJ965WN","JRTCKXETXF","E94KJQMBWGJ965WN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","20.1310000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_P3_8XLARGE","CreateTrainedModel",,"Training-ML_P3_8XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
@@ -819,6 +834,7 @@
|
|
| 819 |
"FH6KRUAZ6KSK8K8M","JRTCKXETXF","FH6KRUAZ6KSK8K8M.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.6570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_C5N_9XLARGE","CreateTrainedModel",,"Training-ML_C5N_9XLARGE","eu-central-1","AWS Clean Rooms"
|
| 820 |
"FH7MPY4AUTMH2PWC","JRTCKXETXF","FH7MPY4AUTMH2PWC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per 1,000 records","2025-07-01","0","Inf","Records","0.0000100000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-NumberOfTrainingRecords","CreateTrainedModel",,"Training","us-west-2","AWS Clean Rooms"
|
| 821 |
"FHRQYSECGY8XUYPE","JRTCKXETXF","FHRQYSECGY8XUYPE.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1150000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_C7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_LARGE","eu-north-1","AWS Clean Rooms"
|
|
|
|
| 822 |
"FHYZ3PWM6NTQTGEM","JRTCKXETXF","FHYZ3PWM6NTQTGEM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.92 per CRPU-Hr for CleanRooms-SQL-Compute:RunCustomSQLDifferentialPrivacy in US East (Ohio)","2025-07-01","0","Inf","CRPU-Hr","1.9200000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-CleanRooms-SQL-Compute","RunCustomSQLDifferentialPrivacy","CustomSQLDifferentialPrivacy",,"us-east-2","AWS Clean Rooms"
|
| 823 |
"FJB9Z67B3MVQVHY2","JRTCKXETXF","FJB9Z67B3MVQVHY2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5860000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_C5N_2XLARGE","CreateTrainedModel",,"Training-ML_C5N_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 824 |
"FJVGQED2AJB97ETY","JRTCKXETXF","FJVGQED2AJB97ETY.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5950000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_M6I_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_2XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
@@ -895,6 +911,7 @@
|
|
| 895 |
"GP52RC946A8UT27S","JRTCKXETXF","GP52RC946A8UT27S.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_P2_XLARGE","CreateTrainedModel",,"Training-ML_P2_XLARGE","us-east-2","AWS Clean Rooms"
|
| 896 |
"GPAB92XXMRVC9FPM","JRTCKXETXF","GPAB92XXMRVC9FPM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4380000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_C6I_2XLARGE","CreateTrainedModel",,"Training-ML_C6I_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 897 |
"GPHFXKMNHRJEQZ7E","JRTCKXETXF","GPHFXKMNHRJEQZ7E.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.4960000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_G5_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_4XLARGE","ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 898 |
"GRDGWCQYNSV4Z3PU","JRTCKXETXF","GRDGWCQYNSV4Z3PU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1520000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_M6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 899 |
"GTT3EYHR3ABPDXPA","JRTCKXETXF","GTT3EYHR3ABPDXPA.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.5400000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_G5_4XLARGE","CreateTrainedModel",,"Training-ML_G5_4XLARGE","eu-central-1","AWS Clean Rooms"
|
| 900 |
"GTYUYPQGSYKSJBS8","JRTCKXETXF","GTYUYPQGSYKSJBS8.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8250000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","us-west-2","AWS Clean Rooms"
|
|
@@ -916,6 +933,7 @@
|
|
| 916 |
"H25YBUASPDH9Z3X7","JRTCKXETXF","H25YBUASPDH9Z3X7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_M5_XLARGE","CreateTrainedModel",,"Training-ML_M5_XLARGE","us-west-2","AWS Clean Rooms"
|
| 917 |
"H2K6THU92FWU9N2Y","JRTCKXETXF","H2K6THU92FWU9N2Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1380000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_M5_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_LARGE","eu-central-1","AWS Clean Rooms"
|
| 918 |
"H3W4ZZ9355GAT95E","JRTCKXETXF","H3W4ZZ9355GAT95E.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","20.3600000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_G5_48XLARGE","CreateTrainedModel",,"Training-ML_G5_48XLARGE","us-west-2","AWS Clean Rooms"
|
|
|
|
| 919 |
"H6JSY4ZGEF9R7QRV","JRTCKXETXF","H6JSY4ZGEF9R7QRV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.0220000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_R5D_24XLARGE","CreateTrainedModel",,"Training-ML_R5D_24XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 920 |
"H6TFZBHSEXF7Y5UR","JRTCKXETXF","H6TFZBHSEXF7Y5UR.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5330000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C6I_2XLARGE","CreateTrainedModel",,"Training-ML_C6I_2XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 921 |
"H78PU6QU2ZG79Q26","JRTCKXETXF","H78PU6QU2ZG79Q26.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1140000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_M4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_4XLARGE","eu-west-2","AWS Clean Rooms"
|
|
@@ -1061,6 +1079,7 @@
|
|
| 1061 |
"KNM9ZH4DDWXVAAQJ","JRTCKXETXF","KNM9ZH4DDWXVAAQJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1410000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_C7I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_24XLARGE","us-east-2","AWS Clean Rooms"
|
| 1062 |
"KPBBXXMZXG6FF3VW","JRTCKXETXF","KPBBXXMZXG6FF3VW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.63 per CRPU-Hr for CleanRooms-SQL-Compute:RunSQLAnalysis in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","0.6300000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-SQL-Compute","RunSQLAnalysis","SQL",,"us-west-2","AWS Clean Rooms"
|
| 1063 |
"KQ64JW5QYSPF4P95","JRTCKXETXF","KQ64JW5QYSPF4P95.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2530000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 1064 |
"KS3W5KB3YCJZRZKK","JRTCKXETXF","KS3W5KB3YCJZRZKK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.6080000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_M6I_16XLARGE","CreateTrainedModel",,"Training-ML_M6I_16XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 1065 |
"KT2RNJ6HNHZYEGYC","JRTCKXETXF","KT2RNJ6HNHZYEGYC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9210000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_G4DN_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G4DN_XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1066 |
"KTFFA82DYHB6BD7W","JRTCKXETXF","KTFFA82DYHB6BD7W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","8.5250000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5_24XLARGE","CreateTrainedModel",,"Training-ML_R5_24XLARGE","eu-west-2","AWS Clean Rooms"
|
|
@@ -1134,6 +1153,7 @@
|
|
| 1134 |
"MZ9S5DECZA4XWCW4","JRTCKXETXF","MZ9S5DECZA4XWCW4.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2040000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C6I_XLARGE","CreateTrainedModel",,"Training-ML_C6I_XLARGE","us-east-2","AWS Clean Rooms"
|
| 1135 |
"N27HY4ZT5QY3C6QN","JRTCKXETXF","N27HY4ZT5QY3C6QN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","8.2180000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_32XLARGE","CreateTrainedModel",,"Training-ML_M6I_32XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1136 |
"N2R47VFFX8DJNGAU","JRTCKXETXF","N2R47VFFX8DJNGAU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.0950000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C5_9XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_9XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 1137 |
"N3BCPJCFR9ZV6WFD","JRTCKXETXF","N3BCPJCFR9ZV6WFD.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_M4_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_2XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1138 |
"N3FTPMBFNH45C3EV","JRTCKXETXF","N3FTPMBFNH45C3EV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1200000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_G5_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_16XLARGE","us-east-1","AWS Clean Rooms"
|
| 1139 |
"N3SJGMU7X4EBSSJZ","JRTCKXETXF","N3SJGMU7X4EBSSJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.1570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M7I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_8XLARGE","eu-west-1","AWS Clean Rooms"
|
|
@@ -1220,6 +1240,7 @@
|
|
| 1220 |
"PB8DN3HYJT6PTNUK","JRTCKXETXF","PB8DN3HYJT6PTNUK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.5050000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_G4DN_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G4DN_4XLARGE","us-east-1","AWS Clean Rooms"
|
| 1221 |
"PBRX4A47DWSWSDTS","JRTCKXETXF","PBRX4A47DWSWSDTS.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2930000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_P3_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P3_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1222 |
"PBSYMYGWVBRTTMU5","JRTCKXETXF","PBSYMYGWVBRTTMU5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.6770000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_R5_2XLARGE","CreateTrainedModel",,"Training-ML_R5_2XLARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 1223 |
"PE6PA9EQNHHAT6EY","JRTCKXETXF","PE6PA9EQNHHAT6EY.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1210000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_LARGE","us-east-2","AWS Clean Rooms"
|
| 1224 |
"PEEE3H24G3RE7EDF","JRTCKXETXF","PEEE3H24G3RE7EDF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.4860000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1225 |
"PF249F2WE2QH982Q","JRTCKXETXF","PF249F2WE2QH982Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.7980000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_R5_16XLARGE","CreateTrainedModel",,"Training-ML_R5_16XLARGE","ap-southeast-2","AWS Clean Rooms"
|
|
@@ -1228,6 +1249,7 @@
|
|
| 1228 |
"PGRS4CRR5MKPVCZM","JRTCKXETXF","PGRS4CRR5MKPVCZM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8840000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_G5_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_8XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1229 |
"PHF92TX6UHUHDCAV","JRTCKXETXF","PHF92TX6UHUHDCAV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8780000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1230 |
"PHSWFYMJ6H3F293E","JRTCKXETXF","PHSWFYMJ6H3F293E.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8430000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_M6I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_8XLARGE","us-east-1","AWS Clean Rooms"
|
|
|
|
| 1231 |
"PKZ35N9JAQWJEWBU","JRTCKXETXF","PKZ35N9JAQWJEWBU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","24.3980000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_P2_16XLARGE","CreateTrainedModel",,"Training-ML_P2_16XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1232 |
"PMECBZQKQTWY2RZK","JRTCKXETXF","PMECBZQKQTWY2RZK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1420000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_LARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1233 |
"PMGH49H39QFXK6KG","JRTCKXETXF","PMGH49H39QFXK6KG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","8.8320000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_M6I_32XLARGE","CreateTrainedModel",,"Training-ML_M6I_32XLARGE","eu-central-1","AWS Clean Rooms"
|
|
@@ -1235,6 +1257,7 @@
|
|
| 1235 |
"PNPSKKNJBJBMXZBB","JRTCKXETXF","PNPSKKNJBJBMXZBB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1730000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_R5D_LARGE","CreateTrainedModel",,"Training-ML_R5D_LARGE","us-east-1","AWS Clean Rooms"
|
| 1236 |
"PNR482HHPGBA2T56","JRTCKXETXF","PNR482HHPGBA2T56.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9550000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C4_4XLARGE","CreateTrainedModel",,"Training-ML_C4_4XLARGE","us-west-2","AWS Clean Rooms"
|
| 1237 |
"PNVVKU2HG9J36HXM","JRTCKXETXF","PNVVKU2HG9J36HXM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.2620000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5_12XLARGE","CreateTrainedModel",,"Training-ML_R5_12XLARGE","eu-west-2","AWS Clean Rooms"
|
|
|
|
| 1238 |
"PQ3QEBS5TXPHFZXA","JRTCKXETXF","PQ3QEBS5TXPHFZXA.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.5300000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","us-east-1","AWS Clean Rooms"
|
| 1239 |
"PQMUWRXBAYBC6ZGC","JRTCKXETXF","PQMUWRXBAYBC6ZGC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.0270000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_C6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1240 |
"PS6B6NB4WYY5SASX","JRTCKXETXF","PS6B6NB4WYY5SASX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_XLARGE","CreateTrainedModel",,"Training-ML_M6I_XLARGE","eu-west-1","AWS Clean Rooms"
|
|
@@ -1273,10 +1296,12 @@
|
|
| 1273 |
"QGN5XKSY2M7VRUE4","JRTCKXETXF","QGN5XKSY2M7VRUE4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.06 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-CleanRooms-SparkSQL-Compute","RunSparkSQLAnalysis","SparkSQL",,"eu-west-1","AWS Clean Rooms"
|
| 1274 |
"QGRR7HQNZDSRVPGX","JRTCKXETXF","QGRR7HQNZDSRVPGX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8000000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_M4_16XLARGE","CreateTrainedModel",,"Training-ML_M4_16XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 1275 |
"QHXV8JG4DAQMFVXE","JRTCKXETXF","QHXV8JG4DAQMFVXE.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.6080000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_M4_16XLARGE","CreateTrainedModel",,"Training-ML_M4_16XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 1276 |
"QKC9JF8RPFTTPU9X","JRTCKXETXF","QKC9JF8RPFTTPU9X.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1070000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_LARGE","us-east-1","AWS Clean Rooms"
|
| 1277 |
"QKCDT8SU9URVXWVH","JRTCKXETXF","QKCDT8SU9URVXWVH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","12.5180000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_G5_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_24XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1278 |
"QMJNEQ9X69A3U8TC","JRTCKXETXF","QMJNEQ9X69A3U8TC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8160000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C6I_4XLARGE","CreateTrainedModel",,"Training-ML_C6I_4XLARGE","us-west-2","AWS Clean Rooms"
|
| 1279 |
"QN9Q6SDR8W8NDWYE","JRTCKXETXF","QN9Q6SDR8W8NDWYE.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_G5_8XLARGE","CreateTrainedModel",,"Training-ML_G5_8XLARGE","us-west-2","AWS Clean Rooms"
|
|
|
|
| 1280 |
"QNG4EYSF49QNXQSV","JRTCKXETXF","QNG4EYSF49QNXQSV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","18.3500000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_P3_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P3_8XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1281 |
"QQTX8NHJR3UGM4CT","JRTCKXETXF","QQTX8NHJR3UGM4CT.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.9270000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_P2_XLARGE","CreateTrainedModel",,"Training-ML_P2_XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 1282 |
"QQVXDGA4RTS5M5Q2","JRTCKXETXF","QQVXDGA4RTS5M5Q2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1900000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_M5_4XLARGE","CreateTrainedModel",,"Training-ML_M5_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
@@ -1309,6 +1334,7 @@
|
|
| 1309 |
"RCHNRNP79XUXJHPN","JRTCKXETXF","RCHNRNP79XUXJHPN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8160000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C5_4XLARGE","CreateTrainedModel",,"Training-ML_C5_4XLARGE","us-west-2","AWS Clean Rooms"
|
| 1310 |
"REJKVTVEKMF92SXX","JRTCKXETXF","REJKVTVEKMF92SXX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3840000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_R5D_XLARGE","CreateTrainedModel",,"Training-ML_R5D_XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1311 |
"RFPTXFD2GWFKQYFG","JRTCKXETXF","RFPTXFD2GWFKQYFG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.1800000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_G5_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_24XLARGE","us-west-2","AWS Clean Rooms"
|
|
|
|
| 1312 |
"RHU5WPNZPBG9JMH7","JRTCKXETXF","RHU5WPNZPBG9JMH7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per 1,000 records","2025-07-01","0","Inf","Records","0.0000100000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-NumberOfTrainingRecords","CreateTrainedModel",,"Training","eu-central-1","AWS Clean Rooms"
|
| 1313 |
"RJ49K56NVQ5A4C7W","JRTCKXETXF","RJ49K56NVQ5A4C7W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4700000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_C6I_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_2XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 1314 |
"RK2WY9ESNJ2J49RV","JRTCKXETXF","RK2WY9ESNJ2J49RV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3650000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_R5_XLARGE","CreateTrainedModel",,"Training-ML_R5_XLARGE","eu-central-1","AWS Clean Rooms"
|
|
@@ -1358,6 +1384,7 @@
|
|
| 1358 |
"SG65W7WQG4P6SCM5","JRTCKXETXF","SG65W7WQG4P6SCM5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8710000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_C7I_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_16XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1359 |
"SGD3NAM3YV3Y9BXF","JRTCKXETXF","SGD3NAM3YV3Y9BXF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_M5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_2XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1360 |
"SH2DVZANU8F897BM","JRTCKXETXF","SH2DVZANU8F897BM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.49 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-CleanRooms-SparkSQL-Compute","RunSparkSQLAnalysis","SparkSQL",,"eu-west-2","AWS Clean Rooms"
|
|
|
|
| 1361 |
"SHACR4K6H7JYX7F4","JRTCKXETXF","SHACR4K6H7JYX7F4.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_M6I_2XLARGE","CreateTrainedModel",,"Training-ML_M6I_2XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1362 |
"SHH6CWVGP8A6T76B","JRTCKXETXF","SHH6CWVGP8A6T76B.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.2800000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_G5_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_12XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1363 |
"SHPNV4Y6ZK93XJW8","JRTCKXETXF","SHPNV4Y6ZK93XJW8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0025 per 1,000 records","2025-07-01","0","Inf","Records","0.0000025000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-NumberOfInferenceRecords","StartTrainedModelInferenceJob",,"Inference","eu-north-1","AWS Clean Rooms"
|
|
@@ -1563,6 +1590,7 @@
|
|
| 1563 |
"VWYEMV7KJXHCFYNN","JRTCKXETXF","VWYEMV7KJXHCFYNN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.5870000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1564 |
"VXXZ2FVSKYXVCJ7D","JRTCKXETXF","VXXZ2FVSKYXVCJ7D.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.25 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0002500000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-StartAudienceExportJob","StartAudienceExportJob",,"Inference","ap-northeast-1","AWS Clean Rooms"
|
| 1565 |
"W2HZPQZEUCXFMM2Y","JRTCKXETXF","W2HZPQZEUCXFMM2Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2950000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_M4_XLARGE","CreateTrainedModel",,"Training-ML_M4_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 1566 |
"W36M4VB3K56RB67N","JRTCKXETXF","W36M4VB3K56RB67N.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_P2_XLARGE","CreateTrainedModel",,"Training-ML_P2_XLARGE","us-east-1","AWS Clean Rooms"
|
| 1567 |
"W3TTWNNSARYP93DZ","JRTCKXETXF","W3TTWNNSARYP93DZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1810000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_4XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1568 |
"W4J3WHQPFAU9WVBQ","JRTCKXETXF","W4J3WHQPFAU9WVBQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8430000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_M6I_8XLARGE","CreateTrainedModel",,"Training-ML_M6I_8XLARGE","us-east-2","AWS Clean Rooms"
|
|
@@ -1631,6 +1659,7 @@
|
|
| 1631 |
"X8YX93KR7ABEP74R","JRTCKXETXF","X8YX93KR7ABEP74R.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.8750000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1632 |
"X9SNH7MHEWQH4D6R","JRTCKXETXF","X9SNH7MHEWQH4D6R.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.4940000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1633 |
"X9WKPHZR8J7SH3Y9","JRTCKXETXF","X9WKPHZR8J7SH3Y9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.4030000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_G5_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_16XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 1634 |
"XAA4A38JDUGCB9AN","JRTCKXETXF","XAA4A38JDUGCB9AN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.0520000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_T3_MEDIUM","CreateTrainedModel",,"Training-ML_T3_MEDIUM","eu-north-1","AWS Clean Rooms"
|
| 1635 |
"XBQ2Z2YZBER6PDMG","JRTCKXETXF","XBQ2Z2YZBER6PDMG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.1090000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_16XLARGE","CreateTrainedModel",,"Training-ML_M6I_16XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1636 |
"XC2J88RDSV6PJK2U","JRTCKXETXF","XC2J88RDSV6PJK2U.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
@@ -1639,6 +1668,7 @@
|
|
| 1639 |
"XDMGW9R498KRCVNN","JRTCKXETXF","XDMGW9R498KRCVNN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1330000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_C6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_LARGE","ap-southeast-2","AWS Clean Rooms"
|
| 1640 |
"XDMU8G4MG3PQPNXK","JRTCKXETXF","XDMU8G4MG3PQPNXK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.655 per CRPU-Hr for CleanRooms-SQL-Compute:RunSQLAnalysis in EU (Stockholm)","2025-07-01","0","Inf","CRPU-Hr","0.6550000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-CleanRooms-SQL-Compute","RunSQLAnalysis","SQL",,"eu-north-1","AWS Clean Rooms"
|
| 1641 |
"XDXB924YSRDFWKJB","JRTCKXETXF","XDXB924YSRDFWKJB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.9330000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C7I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_12XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 1642 |
"XFS438TGVQPBFXJZ","JRTCKXETXF","XFS438TGVQPBFXJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.156 per hours for APN2-TrainingInstanceHours-ML_G4DN_2XLARGE in Asia Pacific (Seoul)","2025-07-01","0","Inf","hours","1.1560000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_G4DN_2XLARGE","CreateTrainedModel",,"Training-ML_G4DN_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1643 |
"XGCKMUFVDF8M7UGN","JRTCKXETXF","XGCKMUFVDF8M7UGN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.1310000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1644 |
"XGMHG7U5CBESV9JS","JRTCKXETXF","XGMHG7U5CBESV9JS.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","9.5230000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_M6I_32XLARGE","CreateTrainedModel",,"Training-ML_M6I_32XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
@@ -1670,6 +1700,7 @@
|
|
| 1670 |
"Y2XNRH8X8SA3WQ6Z","JRTCKXETXF","Y2XNRH8X8SA3WQ6Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.0660000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_4XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1671 |
"Y327YMB67W2J4PUV","JRTCKXETXF","Y327YMB67W2J4PUV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1780000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5_LARGE","CreateTrainedModel",,"Training-ML_R5_LARGE","eu-west-2","AWS Clean Rooms"
|
| 1672 |
"Y3DQRTE6B6RA56ZK","JRTCKXETXF","Y3DQRTE6B6RA56ZK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0025 per 1,000 records","2025-07-01","0","Inf","Records","0.0000025000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-NumberOfInferenceRecords","StartTrainedModelInferenceJob",,"Inference","ap-northeast-1","AWS Clean Rooms"
|
|
|
|
| 1673 |
"Y4AKTVAXNBMBGMD9","JRTCKXETXF","Y4AKTVAXNBMBGMD9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_G5_16XLARGE","CreateTrainedModel",,"Training-ML_G5_16XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1674 |
"Y4XW77EX3E59AMX4","JRTCKXETXF","Y4XW77EX3E59AMX4.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4610000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_2XLARGE","us-east-2","AWS Clean Rooms"
|
| 1675 |
"Y5BNVSYBZQWHC9YQ","JRTCKXETXF","Y5BNVSYBZQWHC9YQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.9580000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_M6I_8XLARGE","CreateTrainedModel",,"Training-ML_M6I_8XLARGE","eu-north-1","AWS Clean Rooms"
|
|
@@ -1720,6 +1751,7 @@
|
|
| 1720 |
"YY2XXJBXWAYTDMZC","JRTCKXETXF","YY2XXJBXWAYTDMZC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2880000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_M5_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 1721 |
"YY7JV9XCPXDRTBXJ","JRTCKXETXF","YY7JV9XCPXDRTBXJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_XLARGE","us-east-2","AWS Clean Rooms"
|
| 1722 |
"YYN98NX7AQZKHZ69","JRTCKXETXF","YYN98NX7AQZKHZ69.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1090000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_LARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 1723 |
"Z24R4AQEHJU5S2ZB","JRTCKXETXF","Z24R4AQEHJU5S2ZB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.9380000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_C5N_9XLARGE","CreateTrainedModel",,"Training-ML_C5N_9XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1724 |
"Z3F28VP7CVYD4RHZ","JRTCKXETXF","Z3F28VP7CVYD4RHZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5660000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M6I_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1725 |
"Z3PF2Q7CP2ABBP7B","JRTCKXETXF","Z3PF2Q7CP2ABBP7B.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.6394000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_G5_4XLARGE","CreateTrainedModel",,"Training-ML_G5_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
|
@@ -1780,6 +1812,7 @@
|
|
| 1780 |
"ZVFPJJQWAQ3AM2Y6","JRTCKXETXF","ZVFPJJQWAQ3AM2Y6.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8670000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_12XLARGE","CreateTrainedModel",,"Training-ML_R5D_12XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1781 |
"ZVKCDT846HQDUVKE","JRTCKXETXF","ZVKCDT846HQDUVKE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.4 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-CleanRooms-SparkSQL-Compute","RunSparkSQLAnalysis","SparkSQL",,"ap-southeast-1","AWS Clean Rooms"
|
| 1782 |
"ZVSXV6NNZZ4P637T","JRTCKXETXF","ZVSXV6NNZZ4P637T.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.1800000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_G5_24XLARGE","CreateTrainedModel",,"Training-ML_G5_24XLARGE","us-west-2","AWS Clean Rooms"
|
|
|
|
| 1783 |
"ZXWX6GTK5TAHVBJG","JRTCKXETXF","ZXWX6GTK5TAHVBJG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_P2_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P2_XLARGE","us-west-2","AWS Clean Rooms"
|
| 1784 |
"ZYDK956UECYXF74J","JRTCKXETXF","ZYDK956UECYXF74J.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.2100000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_C4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C4_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1785 |
"ZYSTFWAJWF34TZFW","JRTCKXETXF","ZYSTFWAJWF34TZFW.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","45.2260000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_P4D_24XLARGE","CreateTrainedModel",,"Training-ML_P4D_24XLARGE","ap-southeast-1","AWS Clean Rooms"
|
|
|
|
| 158 |
"4N2HWQG2ZY9QRVJF","JRTCKXETXF","4N2HWQG2ZY9QRVJF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","12.7300000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_G5_24XLARGE","CreateTrainedModel",,"Training-ML_G5_24XLARGE","eu-central-1","AWS Clean Rooms"
|
| 159 |
"4N7KCJHGSFBQZTAW","JRTCKXETXF","4N7KCJHGSFBQZTAW.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.6080000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_M6I_16XLARGE","CreateTrainedModel",,"Training-ML_M6I_16XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 160 |
"4N8D6MTXGCATF2X3","JRTCKXETXF","4N8D6MTXGCATF2X3.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1270000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_T3_LARGE","CreateTrainedModel",,"Training-ML_T3_LARGE","ap-southeast-1","AWS Clean Rooms"
|
| 161 |
+
"4NDAQFPZB8EJGG9N","JRTCKXETXF","4NDAQFPZB8EJGG9N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.59 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.5900000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"ap-northeast-1","AWS Clean Rooms"
|
| 162 |
"4NDHQQVUVT7U9KQV","JRTCKXETXF","4NDHQQVUVT7U9KQV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5140000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M5_2XLARGE","CreateTrainedModel",,"Training-ML_M5_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 163 |
"4NVANS2CFHGX65TG","JRTCKXETXF","4NVANS2CFHGX65TG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.6900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_G5_2XLARGE","CreateTrainedModel",,"Training-ML_G5_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 164 |
"4PJ68NJEX75ANAH7","JRTCKXETXF","4PJ68NJEX75ANAH7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.2080000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_M6I_8XLARGE","CreateTrainedModel",,"Training-ML_M6I_8XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 242 |
"5V5ESWG67E9SKUW8","JRTCKXETXF","5V5ESWG67E9SKUW8.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","eu-north-1","AWS Clean Rooms"
|
| 243 |
"5VZG2PDUURN9CQAT","JRTCKXETXF","5VZG2PDUURN9CQAT.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_M7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_XLARGE","us-west-2","AWS Clean Rooms"
|
| 244 |
"5W59HJZ7KJM942BG","JRTCKXETXF","5W59HJZ7KJM942BG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1400000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_M7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_LARGE","eu-west-2","AWS Clean Rooms"
|
| 245 |
+
"5WHQ55CUUERVQCP2","JRTCKXETXF","5WHQ55CUUERVQCP2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.33 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in EU (Frankfurt)","2025-07-01","0","Inf","CRPU-Hr","2.3300000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"eu-central-1","AWS Clean Rooms"
|
| 246 |
"5XRWBNRZ472RJJPT","JRTCKXETXF","5XRWBNRZ472RJJPT.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","7.0740000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_G4DN_16XLARGE","CreateTrainedModel",,"Training-ML_G4DN_16XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 247 |
"5YSS7HW5Z6J32TW9","JRTCKXETXF","5YSS7HW5Z6J32TW9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.9310000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_C5_18XLARGE","CreateTrainedModel",,"Training-ML_C5_18XLARGE","eu-north-1","AWS Clean Rooms"
|
| 248 |
+
"632C3TPGJYZ28VCP","JRTCKXETXF","632C3TPGJYZ28VCP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.30 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Seoul)","2025-07-01","0","Inf","CRPU-Hr","2.3000000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"ap-northeast-2","AWS Clean Rooms"
|
| 249 |
"633CSZ2F5HAS7ZEG","JRTCKXETXF","633CSZ2F5HAS7ZEG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3130000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 250 |
"635M7TA7ZEFFKPQ6","JRTCKXETXF","635M7TA7ZEFFKPQ6.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0460000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C5N_9XLARGE","CreateTrainedModel",,"Training-ML_C5N_9XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 251 |
"63E4JGMJJAA65DBQ","JRTCKXETXF","63E4JGMJJAA65DBQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$4.68 per CRPU-Hr for CleanRooms-PySpark-Compute:RunPySparkAnalysis in Asia Pacific (Seoul)","2025-07-01","0","Inf","CRPU-Hr","4.6800000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-CleanRooms-PySpark-Compute","RunPySparkAnalysis","PySpark",,"ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 253 |
"64MTH68UWECS5MQF","JRTCKXETXF","64MTH68UWECS5MQF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2830000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M5_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 254 |
"64Z56FW7NBHVDXSR","JRTCKXETXF","64Z56FW7NBHVDXSR.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.6320000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_C6I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_8XLARGE","us-east-2","AWS Clean Rooms"
|
| 255 |
"656TSNY8GT9MB5JH","JRTCKXETXF","656TSNY8GT9MB5JH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4800000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_M4_2XLARGE","CreateTrainedModel",,"Training-ML_M4_2XLARGE","us-east-2","AWS Clean Rooms"
|
| 256 |
+
"6596TMBH7DXVND47","JRTCKXETXF","6596TMBH7DXVND47.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.41 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in EU (Stockholm)","2025-07-01","0","Inf","CRPU-Hr","2.4100000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"eu-north-1","AWS Clean Rooms"
|
| 257 |
"66DH8TZQU6TQWWHZ","JRTCKXETXF","66DH8TZQU6TQWWHZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.41 per CRPU-Hr for CleanRooms-SQL-Compute:RunCustomSQLDifferentialPrivacy in EU (Frankfurt)","2025-07-01","0","Inf","CRPU-Hr","2.4100000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-CleanRooms-SQL-Compute","RunCustomSQLDifferentialPrivacy","CustomSQLDifferentialPrivacy",,"eu-central-1","AWS Clean Rooms"
|
| 258 |
"66NDBARPS5SCBG8H","JRTCKXETXF","66NDBARPS5SCBG8H.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2330000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C5_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_XLARGE","eu-central-1","AWS Clean Rooms"
|
| 259 |
"66X6XCQWHD47V6VG","JRTCKXETXF","66X6XCQWHD47V6VG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9550000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C4_4XLARGE","CreateTrainedModel",,"Training-ML_C4_4XLARGE","us-east-2","AWS Clean Rooms"
|
|
|
|
| 279 |
"6GAA9QBUHVF2ZQ4X","JRTCKXETXF","6GAA9QBUHVF2ZQ4X.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","28.1520000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_P3_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P3_16XLARGE","us-east-1","AWS Clean Rooms"
|
| 280 |
"6GEZDR3GFJC3SHB7","JRTCKXETXF","6GEZDR3GFJC3SHB7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4060000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_XLARGE","CreateTrainedModel",,"Training-ML_R5D_XLARGE","eu-west-2","AWS Clean Rooms"
|
| 281 |
"6GR2TEJH5XHAT7BM","JRTCKXETXF","6GR2TEJH5XHAT7BM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.9088000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_C6I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_12XLARGE","eu-west-2","AWS Clean Rooms"
|
| 282 |
+
"6GZ8JUKYBJZQK7CK","JRTCKXETXF","6GZ8JUKYBJZQK7CK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.72 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Singapore)","2025-07-01","0","Inf","CRPU-Hr","2.7200000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"ap-southeast-1","AWS Clean Rooms"
|
| 283 |
"6HJPUUAK2GTH3UPQ","JRTCKXETXF","6HJPUUAK2GTH3UPQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.3060000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_C5N_4XLARGE","CreateTrainedModel",,"Training-ML_C5N_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 284 |
"6HN9FHC5C298J6J7","JRTCKXETXF","6HN9FHC5C298J6J7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1460000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_R5_16XLARGE","CreateTrainedModel",,"Training-ML_R5_16XLARGE","eu-north-1","AWS Clean Rooms"
|
| 285 |
"6HUN72ATUNZDCY6W","JRTCKXETXF","6HUN72ATUNZDCY6W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_T3_LARGE","CreateTrainedModel",,"Training-ML_T3_LARGE","ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 303 |
"6VKHUKMMQEMXPFDU","JRTCKXETXF","6VKHUKMMQEMXPFDU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1410000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C7I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_24XLARGE","us-east-1","AWS Clean Rooms"
|
| 304 |
"6W56KB4HAJXE7FCU","JRTCKXETXF","6W56KB4HAJXE7FCU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","7.2580000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_R5_24XLARGE","CreateTrainedModel",,"Training-ML_R5_24XLARGE","us-west-2","AWS Clean Rooms"
|
| 305 |
"6WA9AMNRMRZEFQDH","JRTCKXETXF","6WA9AMNRMRZEFQDH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","7.1420000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_M5_24XLARGE","CreateTrainedModel",,"Training-ML_M5_24XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 306 |
+
"6WBJWY89YAUAF5Y8","JRTCKXETXF","6WBJWY89YAUAF5Y8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.92 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in US East (Ohio)","2025-07-01","0","Inf","CRPU-Hr","1.9200000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"us-east-2","AWS Clean Rooms"
|
| 307 |
"6X2NV87MVBRZDY6S","JRTCKXETXF","6X2NV87MVBRZDY6S.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.9120000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 308 |
"6XXTJQQH5UDCVVRM","JRTCKXETXF","6XXTJQQH5UDCVVRM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.6864000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_C6I_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_16XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 309 |
"6YJ4U7MXNSNRNBKX","JRTCKXETXF","6YJ4U7MXNSNRNBKX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1900000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_C5N_4XLARGE","CreateTrainedModel",,"Training-ML_C5N_4XLARGE","ap-southeast-1","AWS Clean Rooms"
|
|
|
|
| 398 |
"8NA2BKMYTCJFENWV","JRTCKXETXF","8NA2BKMYTCJFENWV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2140000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_XLARGE","us-east-1","AWS Clean Rooms"
|
| 399 |
"8PR7R8CH2FJHA9B7","JRTCKXETXF","8PR7R8CH2FJHA9B7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2710000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C4_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C4_XLARGE","eu-west-1","AWS Clean Rooms"
|
| 400 |
"8PWYHYM4ZN6ZCXUF","JRTCKXETXF","8PWYHYM4ZN6ZCXUF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3990000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_T3_2XLARGE","CreateTrainedModel",,"Training-ML_T3_2XLARGE","us-east-2","AWS Clean Rooms"
|
| 401 |
+
"8Q6X65PSH5RM75YM","JRTCKXETXF","8Q6X65PSH5RM75YM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.37 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in EU (Stockholm)","2025-07-01","0","Inf","CRPU-Hr","2.3700000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"eu-north-1","AWS Clean Rooms"
|
| 402 |
"8R9C836PFYF88BDZ","JRTCKXETXF","8R9C836PFYF88BDZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.04 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0000400000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CreateAudienceModel","CreateAudienceModel",,"Training","ap-northeast-1","AWS Clean Rooms"
|
| 403 |
"8SD8M4RNBBMYD8KG","JRTCKXETXF","8SD8M4RNBBMYD8KG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.2440000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_8XLARGE","CreateTrainedModel",,"Training-ML_R5D_8XLARGE","eu-west-2","AWS Clean Rooms"
|
| 404 |
"8SM6EWCT7Q93CYDA","JRTCKXETXF","8SM6EWCT7Q93CYDA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.25 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0002500000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-StartAudienceExportJob","StartAudienceExportJob",,"Inference","us-east-2","AWS Clean Rooms"
|
|
|
|
| 500 |
"AC6KTWZBKJ2UUU6G","JRTCKXETXF","AC6KTWZBKJ2UUU6G.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8740000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_C6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_4XLARGE","eu-north-1","AWS Clean Rooms"
|
| 501 |
"ACTRBC9EAQDR393M","JRTCKXETXF","ACTRBC9EAQDR393M.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.6720000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C5_18XLARGE","CreateTrainedModel",,"Training-ML_C5_18XLARGE","us-east-2","AWS Clean Rooms"
|
| 502 |
"ADNF3YUS5G94AU5H","JRTCKXETXF","ADNF3YUS5G94AU5H.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8160000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C5_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_4XLARGE","us-east-1","AWS Clean Rooms"
|
| 503 |
+
"AE3RK8R8E8W7X6DX","JRTCKXETXF","AE3RK8R8E8W7X6DX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.45 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in EU (London)","2025-07-01","0","Inf","CRPU-Hr","2.4500000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"eu-west-2","AWS Clean Rooms"
|
| 504 |
"AECDU4GPGQRBQAFG","JRTCKXETXF","AECDU4GPGQRBQAFG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2390000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","us-east-1","AWS Clean Rooms"
|
| 505 |
"AFDCGJPVZJFT5276","JRTCKXETXF","AFDCGJPVZJFT5276.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2930000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 506 |
"AGXQSQQAE72HZ3C2","JRTCKXETXF","AGXQSQQAE72HZ3C2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","14.6880000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_P3_8XLARGE","CreateTrainedModel",,"Training-ML_P3_8XLARGE","us-west-2","AWS Clean Rooms"
|
|
|
|
| 533 |
"AZ5DXJNR6NJZ8HBV","JRTCKXETXF","AZ5DXJNR6NJZ8HBV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9220000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_M6I_4XLARGE","CreateTrainedModel",,"Training-ML_M6I_4XLARGE","us-east-1","AWS Clean Rooms"
|
| 534 |
"AZCC7A3SGCJVJKKJ","JRTCKXETXF","AZCC7A3SGCJVJKKJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8430000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M6I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_8XLARGE","us-east-2","AWS Clean Rooms"
|
| 535 |
"AZND7RZN48HSKYBC","JRTCKXETXF","AZND7RZN48HSKYBC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5660000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 536 |
+
"AZU5R9J4AQWEWCYD","JRTCKXETXF","AZU5R9J4AQWEWCYD.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.00 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in US East (N. Virginia)","2025-07-01","0","Inf","CRPU-Hr","2.0000000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"us-east-1","AWS Clean Rooms"
|
| 537 |
"B2E4KGU7ZFJ3VWST","JRTCKXETXF","B2E4KGU7ZFJ3VWST.JRTCKXETXF.6YS6EN2CT7","OnDemand","$3.84 per CRPU-Hr for CleanRooms-PySpark-Compute:RunPySparkAnalysis in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","3.8400000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-PySpark-Compute","RunPySparkAnalysis","PySpark",,"us-west-2","AWS Clean Rooms"
|
| 538 |
"B2HAYVYBSAYRJKHC","JRTCKXETXF","B2HAYVYBSAYRJKHC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1280000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M5_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_LARGE","eu-west-1","AWS Clean Rooms"
|
| 539 |
"B2S94UDCN4C5SSEU","JRTCKXETXF","B2S94UDCN4C5SSEU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8110000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_2XLARGE","CreateTrainedModel",,"Training-ML_R5D_2XLARGE","eu-west-2","AWS Clean Rooms"
|
|
|
|
| 565 |
"BEUSEGE38WCBZ9QS","JRTCKXETXF","BEUSEGE38WCBZ9QS.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2930000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 566 |
"BFD3B9N8XJZFEHN9","JRTCKXETXF","BFD3B9N8XJZFEHN9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.4480000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_C6I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_12XLARGE","us-west-2","AWS Clean Rooms"
|
| 567 |
"BFSHBBHAC9KGGJ4M","JRTCKXETXF","BFSHBBHAC9KGGJ4M.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4180000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_R5D_XLARGE","CreateTrainedModel",,"Training-ML_R5D_XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 568 |
+
"BGR7CANS8EYTMDA5","JRTCKXETXF","BGR7CANS8EYTMDA5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.25 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in US East (N. Virginia)","2025-07-01","0","Inf","CRPU-Hr","2.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"us-east-1","AWS Clean Rooms"
|
| 569 |
"BH5K95VABARZ635J","JRTCKXETXF","BH5K95VABARZ635J.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2390000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","us-east-2","AWS Clean Rooms"
|
| 570 |
"BH5U9FX5TPYCM3M5","JRTCKXETXF","BH5U9FX5TPYCM3M5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_C4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C4_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 571 |
"BHXFZJRHBCU8EPGR","JRTCKXETXF","BHXFZJRHBCU8EPGR.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","25.4600000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_G5_48XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_48XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 623 |
"CBYX7R8Z2HSKQMQK","JRTCKXETXF","CBYX7R8Z2HSKQMQK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2720000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_C4_XLARGE","CreateTrainedModel",,"Training-ML_C4_XLARGE","eu-central-1","AWS Clean Rooms"
|
| 624 |
"CDHTTG7PGG5JQKZ2","JRTCKXETXF","CDHTTG7PGG5JQKZ2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.5453100000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_TRN1_2XLARGE","CreateTrainedModel",,"Training-ML_TRN1_2XLARGE","us-east-2","AWS Clean Rooms"
|
| 625 |
"CDPY7AQTUNVRCUX6","JRTCKXETXF","CDPY7AQTUNVRCUX6.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.2640000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","us-east-2","AWS Clean Rooms"
|
| 626 |
+
"CDQ8259JQ2R48DRU","JRTCKXETXF","CDQ8259JQ2R48DRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.34 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in Asia Pacific (Seoul)","2025-07-01","0","Inf","CRPU-Hr","2.3400000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"ap-northeast-2","AWS Clean Rooms"
|
| 627 |
"CE3XHCFANDVEBA6T","JRTCKXETXF","CE3XHCFANDVEBA6T.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.865 per CRPU-Hr for CleanRooms-SQL-Compute:RunSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","0.8650000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CleanRooms-SQL-Compute","RunSQLAnalysis","SQL",,"ap-northeast-1","AWS Clean Rooms"
|
| 628 |
"CEZJZK7UZ9R65NP7","JRTCKXETXF","CEZJZK7UZ9R65NP7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_M4_2XLARGE","CreateTrainedModel",,"Training-ML_M4_2XLARGE","eu-west-2","AWS Clean Rooms"
|
| 629 |
"CF53Z9U9A3B3J2B5","JRTCKXETXF","CF53Z9U9A3B3J2B5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1040000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_T3_LARGE","CreateTrainedModel",,"Training-ML_T3_LARGE","eu-north-1","AWS Clean Rooms"
|
| 630 |
"CGRUC9HNJRPMG9YU","JRTCKXETXF","CGRUC9HNJRPMG9YU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2350000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_C6I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 631 |
"CH2H4WCG6EAZNYXC","JRTCKXETXF","CH2H4WCG6EAZNYXC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","14.7600000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_G5_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_24XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 632 |
"CHFNXWTYGQUVGFFK","JRTCKXETXF","CHFNXWTYGQUVGFFK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.1630000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","eu-west-1","AWS Clean Rooms"
|
| 633 |
+
"CJ77QGNUTF2EQFJK","JRTCKXETXF","CJ77QGNUTF2EQFJK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.94 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in EU (Ireland)","2025-07-01","0","Inf","CRPU-Hr","1.9400000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"eu-west-1","AWS Clean Rooms"
|
| 634 |
"CJ9DNWBP2ENB96QZ","JRTCKXETXF","CJ9DNWBP2ENB96QZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5140000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_C5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_2XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 635 |
"CJN2BCQG7X28UD8Y","JRTCKXETXF","CJN2BCQG7X28UD8Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.2640000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","us-west-2","AWS Clean Rooms"
|
| 636 |
"CJVZC4VHN8XJCZEK","JRTCKXETXF","CJVZC4VHN8XJCZEK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.3780000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_R5_12XLARGE","CreateTrainedModel",,"Training-ML_R5_12XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 638 |
"CKJQVW5VR38CRB63","JRTCKXETXF","CKJQVW5VR38CRB63.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.3940000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","eu-west-2","AWS Clean Rooms"
|
| 639 |
"CKR38UTUMVQ43WKC","JRTCKXETXF","CKR38UTUMVQ43WKC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_G5_8XLARGE","CreateTrainedModel",,"Training-ML_G5_8XLARGE","us-east-1","AWS Clean Rooms"
|
| 640 |
"CKXYXXP3C5F2WUEM","JRTCKXETXF","CKXYXXP3C5F2WUEM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8380000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_R5_16XLARGE","CreateTrainedModel",,"Training-ML_R5_16XLARGE","us-east-2","AWS Clean Rooms"
|
| 641 |
+
"CMX72XY9BE56RKYV","JRTCKXETXF","CMX72XY9BE56RKYV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in US East (N. Virginia)","2025-07-01","0","Inf","CRPU-Hr","1.9500000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"us-east-1","AWS Clean Rooms"
|
| 642 |
"CMYGXJ8MVDSRQ54G","JRTCKXETXF","CMYGXJ8MVDSRQ54G.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1440000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_M6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_LARGE","ap-southeast-2","AWS Clean Rooms"
|
| 643 |
"CMZB7EUYJMNJ8S7T","JRTCKXETXF","CMZB7EUYJMNJ8S7T.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_M4_10XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_10XLARGE","us-east-1","AWS Clean Rooms"
|
| 644 |
"CP32XS9ZYKX8UCYB","JRTCKXETXF","CP32XS9ZYKX8UCYB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_C6I_XLARGE","CreateTrainedModel",,"Training-ML_C6I_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
|
|
|
| 715 |
"DT38FQDCJH2JPARP","JRTCKXETXF","DT38FQDCJH2JPARP.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_XLARGE","eu-west-1","AWS Clean Rooms"
|
| 716 |
"DTZBV66WM57MD3ED","JRTCKXETXF","DTZBV66WM57MD3ED.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9408000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_C6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_4XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 717 |
"DU8TUUSZZRU2YU26","JRTCKXETXF","DU8TUUSZZRU2YU26.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0820000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M6I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_12XLARGE","eu-west-1","AWS Clean Rooms"
|
| 718 |
+
"DVEXRXTQ9893XJ3F","JRTCKXETXF","DVEXRXTQ9893XJ3F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.02 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in EU (Frankfurt)","2025-07-01","0","Inf","CRPU-Hr","2.0200000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"eu-central-1","AWS Clean Rooms"
|
| 719 |
"DVRC6VT2JZMDJZX2","JRTCKXETXF","DVRC6VT2JZMDJZX2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.0000000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_G4DN_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G4DN_8XLARGE","eu-west-1","AWS Clean Rooms"
|
| 720 |
"DVYEPVP5W5428WPV","JRTCKXETXF","DVYEPVP5W5428WPV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.25 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0002500000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-StartAudienceExportJob","StartAudienceExportJob",,"Inference","eu-central-1","AWS Clean Rooms"
|
| 721 |
"DWDKY4F6B8GM8ZCH","JRTCKXETXF","DWDKY4F6B8GM8ZCH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8960000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","us-east-1","AWS Clean Rooms"
|
|
|
|
| 744 |
"E6DPFPCJXZ36WJ6T","JRTCKXETXF","E6DPFPCJXZ36WJ6T.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8360000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C5_9XLARGE","CreateTrainedModel",,"Training-ML_C5_9XLARGE","us-west-2","AWS Clean Rooms"
|
| 745 |
"E79UANDA5QKBMX93","JRTCKXETXF","E79UANDA5QKBMX93.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","20.3600000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_G5_48XLARGE","CreateTrainedModel",,"Training-ML_G5_48XLARGE","us-east-1","AWS Clean Rooms"
|
| 746 |
"E7H9XE5ERC2HSE75","JRTCKXETXF","E7H9XE5ERC2HSE75.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_T3_XLARGE","CreateTrainedModel",,"Training-ML_T3_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 747 |
+
"E7JTAEFHSFX9B95Q","JRTCKXETXF","E7JTAEFHSFX9B95Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.82 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in EU (London)","2025-07-01","0","Inf","CRPU-Hr","2.8200000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"eu-west-2","AWS Clean Rooms"
|
| 748 |
"E7WJGU3FRPXGB3FK","JRTCKXETXF","E7WJGU3FRPXGB3FK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.2500000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C4_4XLARGE","CreateTrainedModel",,"Training-ML_C4_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 749 |
"E7WW3MFNXXRGBA8W","JRTCKXETXF","E7WW3MFNXXRGBA8W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.6720000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_C5_18XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_18XLARGE","us-west-2","AWS Clean Rooms"
|
| 750 |
"E94KJQMBWGJ965WN","JRTCKXETXF","E94KJQMBWGJ965WN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","20.1310000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_P3_8XLARGE","CreateTrainedModel",,"Training-ML_P3_8XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
|
|
| 834 |
"FH6KRUAZ6KSK8K8M","JRTCKXETXF","FH6KRUAZ6KSK8K8M.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.6570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_C5N_9XLARGE","CreateTrainedModel",,"Training-ML_C5N_9XLARGE","eu-central-1","AWS Clean Rooms"
|
| 835 |
"FH7MPY4AUTMH2PWC","JRTCKXETXF","FH7MPY4AUTMH2PWC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per 1,000 records","2025-07-01","0","Inf","Records","0.0000100000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-NumberOfTrainingRecords","CreateTrainedModel",,"Training","us-west-2","AWS Clean Rooms"
|
| 836 |
"FHRQYSECGY8XUYPE","JRTCKXETXF","FHRQYSECGY8XUYPE.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1150000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_C7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_LARGE","eu-north-1","AWS Clean Rooms"
|
| 837 |
+
"FHVH8VV66NQR522W","JRTCKXETXF","FHVH8VV66NQR522W.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.87 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","1.8700000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"us-west-2","AWS Clean Rooms"
|
| 838 |
"FHYZ3PWM6NTQTGEM","JRTCKXETXF","FHYZ3PWM6NTQTGEM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.92 per CRPU-Hr for CleanRooms-SQL-Compute:RunCustomSQLDifferentialPrivacy in US East (Ohio)","2025-07-01","0","Inf","CRPU-Hr","1.9200000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-CleanRooms-SQL-Compute","RunCustomSQLDifferentialPrivacy","CustomSQLDifferentialPrivacy",,"us-east-2","AWS Clean Rooms"
|
| 839 |
"FJB9Z67B3MVQVHY2","JRTCKXETXF","FJB9Z67B3MVQVHY2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5860000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_C5N_2XLARGE","CreateTrainedModel",,"Training-ML_C5N_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 840 |
"FJVGQED2AJB97ETY","JRTCKXETXF","FJVGQED2AJB97ETY.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5950000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_M6I_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_2XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
|
|
| 911 |
"GP52RC946A8UT27S","JRTCKXETXF","GP52RC946A8UT27S.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_P2_XLARGE","CreateTrainedModel",,"Training-ML_P2_XLARGE","us-east-2","AWS Clean Rooms"
|
| 912 |
"GPAB92XXMRVC9FPM","JRTCKXETXF","GPAB92XXMRVC9FPM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4380000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_C6I_2XLARGE","CreateTrainedModel",,"Training-ML_C6I_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 913 |
"GPHFXKMNHRJEQZ7E","JRTCKXETXF","GPHFXKMNHRJEQZ7E.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.4960000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_G5_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_4XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 914 |
+
"GPU467EH2CTV9ZF9","JRTCKXETXF","GPU467EH2CTV9ZF9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.49 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in EU (London)","2025-07-01","0","Inf","CRPU-Hr","2.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"eu-west-2","AWS Clean Rooms"
|
| 915 |
"GRDGWCQYNSV4Z3PU","JRTCKXETXF","GRDGWCQYNSV4Z3PU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1520000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_M6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 916 |
"GTT3EYHR3ABPDXPA","JRTCKXETXF","GTT3EYHR3ABPDXPA.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.5400000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_G5_4XLARGE","CreateTrainedModel",,"Training-ML_G5_4XLARGE","eu-central-1","AWS Clean Rooms"
|
| 917 |
"GTYUYPQGSYKSJBS8","JRTCKXETXF","GTYUYPQGSYKSJBS8.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8250000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","us-west-2","AWS Clean Rooms"
|
|
|
|
| 933 |
"H25YBUASPDH9Z3X7","JRTCKXETXF","H25YBUASPDH9Z3X7.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_M5_XLARGE","CreateTrainedModel",,"Training-ML_M5_XLARGE","us-west-2","AWS Clean Rooms"
|
| 934 |
"H2K6THU92FWU9N2Y","JRTCKXETXF","H2K6THU92FWU9N2Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1380000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_M5_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_LARGE","eu-central-1","AWS Clean Rooms"
|
| 935 |
"H3W4ZZ9355GAT95E","JRTCKXETXF","H3W4ZZ9355GAT95E.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","20.3600000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_G5_48XLARGE","CreateTrainedModel",,"Training-ML_G5_48XLARGE","us-west-2","AWS Clean Rooms"
|
| 936 |
+
"H5XZGZDXDYWQ2BWJ","JRTCKXETXF","H5XZGZDXDYWQ2BWJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.23 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in Asia Pacific (Sydney)","2025-07-01","0","Inf","CRPU-Hr","2.2300000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"ap-southeast-2","AWS Clean Rooms"
|
| 937 |
"H6JSY4ZGEF9R7QRV","JRTCKXETXF","H6JSY4ZGEF9R7QRV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.0220000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_R5D_24XLARGE","CreateTrainedModel",,"Training-ML_R5D_24XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 938 |
"H6TFZBHSEXF7Y5UR","JRTCKXETXF","H6TFZBHSEXF7Y5UR.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5330000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_C6I_2XLARGE","CreateTrainedModel",,"Training-ML_C6I_2XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 939 |
"H78PU6QU2ZG79Q26","JRTCKXETXF","H78PU6QU2ZG79Q26.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1140000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_M4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_4XLARGE","eu-west-2","AWS Clean Rooms"
|
|
|
|
| 1079 |
"KNM9ZH4DDWXVAAQJ","JRTCKXETXF","KNM9ZH4DDWXVAAQJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1410000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_C7I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_24XLARGE","us-east-2","AWS Clean Rooms"
|
| 1080 |
"KPBBXXMZXG6FF3VW","JRTCKXETXF","KPBBXXMZXG6FF3VW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.63 per CRPU-Hr for CleanRooms-SQL-Compute:RunSQLAnalysis in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","0.6300000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-SQL-Compute","RunSQLAnalysis","SQL",,"us-west-2","AWS Clean Rooms"
|
| 1081 |
"KQ64JW5QYSPF4P95","JRTCKXETXF","KQ64JW5QYSPF4P95.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2530000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1082 |
+
"KQ8NBMSVUNQVM46Z","JRTCKXETXF","KQ8NBMSVUNQVM46Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.99 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in EU (Ireland)","2025-07-01","0","Inf","CRPU-Hr","1.9900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"eu-west-1","AWS Clean Rooms"
|
| 1083 |
"KS3W5KB3YCJZRZKK","JRTCKXETXF","KS3W5KB3YCJZRZKK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.6080000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_M6I_16XLARGE","CreateTrainedModel",,"Training-ML_M6I_16XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 1084 |
"KT2RNJ6HNHZYEGYC","JRTCKXETXF","KT2RNJ6HNHZYEGYC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9210000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_G4DN_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G4DN_XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1085 |
"KTFFA82DYHB6BD7W","JRTCKXETXF","KTFFA82DYHB6BD7W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","8.5250000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5_24XLARGE","CreateTrainedModel",,"Training-ML_R5_24XLARGE","eu-west-2","AWS Clean Rooms"
|
|
|
|
| 1153 |
"MZ9S5DECZA4XWCW4","JRTCKXETXF","MZ9S5DECZA4XWCW4.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2040000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_C6I_XLARGE","CreateTrainedModel",,"Training-ML_C6I_XLARGE","us-east-2","AWS Clean Rooms"
|
| 1154 |
"N27HY4ZT5QY3C6QN","JRTCKXETXF","N27HY4ZT5QY3C6QN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","8.2180000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_32XLARGE","CreateTrainedModel",,"Training-ML_M6I_32XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1155 |
"N2R47VFFX8DJNGAU","JRTCKXETXF","N2R47VFFX8DJNGAU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.0950000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C5_9XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C5_9XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1156 |
+
"N38QU4TV9BSNS7Q4","JRTCKXETXF","N38QU4TV9BSNS7Q4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.52 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Sydney)","2025-07-01","0","Inf","CRPU-Hr","2.5200000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"ap-southeast-2","AWS Clean Rooms"
|
| 1157 |
"N3BCPJCFR9ZV6WFD","JRTCKXETXF","N3BCPJCFR9ZV6WFD.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_M4_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_2XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1158 |
"N3FTPMBFNH45C3EV","JRTCKXETXF","N3FTPMBFNH45C3EV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.1200000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_G5_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_16XLARGE","us-east-1","AWS Clean Rooms"
|
| 1159 |
"N3SJGMU7X4EBSSJZ","JRTCKXETXF","N3SJGMU7X4EBSSJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.1570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M7I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_8XLARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 1240 |
"PB8DN3HYJT6PTNUK","JRTCKXETXF","PB8DN3HYJT6PTNUK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.5050000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_G4DN_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G4DN_4XLARGE","us-east-1","AWS Clean Rooms"
|
| 1241 |
"PBRX4A47DWSWSDTS","JRTCKXETXF","PBRX4A47DWSWSDTS.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2930000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_P3_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P3_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1242 |
"PBSYMYGWVBRTTMU5","JRTCKXETXF","PBSYMYGWVBRTTMU5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.6770000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_R5_2XLARGE","CreateTrainedModel",,"Training-ML_R5_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1243 |
+
"PDMVFX7RVNKVY74E","JRTCKXETXF","PDMVFX7RVNKVY74E.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.36 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Singapore)","2025-07-01","0","Inf","CRPU-Hr","2.3600000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"ap-southeast-1","AWS Clean Rooms"
|
| 1244 |
"PE6PA9EQNHHAT6EY","JRTCKXETXF","PE6PA9EQNHHAT6EY.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1210000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_LARGE","us-east-2","AWS Clean Rooms"
|
| 1245 |
"PEEE3H24G3RE7EDF","JRTCKXETXF","PEEE3H24G3RE7EDF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.4860000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1246 |
"PF249F2WE2QH982Q","JRTCKXETXF","PF249F2WE2QH982Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.7980000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_R5_16XLARGE","CreateTrainedModel",,"Training-ML_R5_16XLARGE","ap-southeast-2","AWS Clean Rooms"
|
|
|
|
| 1249 |
"PGRS4CRR5MKPVCZM","JRTCKXETXF","PGRS4CRR5MKPVCZM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8840000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-InferenceInstanceHours-ML_G5_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_8XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1250 |
"PHF92TX6UHUHDCAV","JRTCKXETXF","PHF92TX6UHUHDCAV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8780000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1251 |
"PHSWFYMJ6H3F293E","JRTCKXETXF","PHSWFYMJ6H3F293E.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8430000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_M6I_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_8XLARGE","us-east-1","AWS Clean Rooms"
|
| 1252 |
+
"PJCD4JY7P6GWPUNU","JRTCKXETXF","PJCD4JY7P6GWPUNU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.24 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in EU (Ireland)","2025-07-01","0","Inf","CRPU-Hr","2.2400000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"eu-west-1","AWS Clean Rooms"
|
| 1253 |
"PKZ35N9JAQWJEWBU","JRTCKXETXF","PKZ35N9JAQWJEWBU.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","24.3980000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_P2_16XLARGE","CreateTrainedModel",,"Training-ML_P2_16XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1254 |
"PMECBZQKQTWY2RZK","JRTCKXETXF","PMECBZQKQTWY2RZK.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1420000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_LARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1255 |
"PMGH49H39QFXK6KG","JRTCKXETXF","PMGH49H39QFXK6KG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","8.8320000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_M6I_32XLARGE","CreateTrainedModel",,"Training-ML_M6I_32XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 1257 |
"PNPSKKNJBJBMXZBB","JRTCKXETXF","PNPSKKNJBJBMXZBB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1730000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_R5D_LARGE","CreateTrainedModel",,"Training-ML_R5D_LARGE","us-east-1","AWS Clean Rooms"
|
| 1258 |
"PNR482HHPGBA2T56","JRTCKXETXF","PNR482HHPGBA2T56.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.9550000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C4_4XLARGE","CreateTrainedModel",,"Training-ML_C4_4XLARGE","us-west-2","AWS Clean Rooms"
|
| 1259 |
"PNVVKU2HG9J36HXM","JRTCKXETXF","PNVVKU2HG9J36HXM.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.2620000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5_12XLARGE","CreateTrainedModel",,"Training-ML_R5_12XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1260 |
+
"PP7G4QXC8Z2SUC9T","JRTCKXETXF","PP7G4QXC8Z2SUC9T.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.40 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in Asia Pacific (Singapore)","2025-07-01","0","Inf","CRPU-Hr","2.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"ap-southeast-1","AWS Clean Rooms"
|
| 1261 |
"PQ3QEBS5TXPHFZXA","JRTCKXETXF","PQ3QEBS5TXPHFZXA.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.5300000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","us-east-1","AWS Clean Rooms"
|
| 1262 |
"PQMUWRXBAYBC6ZGC","JRTCKXETXF","PQMUWRXBAYBC6ZGC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.0270000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_C6I_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1263 |
"PS6B6NB4WYY5SASX","JRTCKXETXF","PS6B6NB4WYY5SASX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2570000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_XLARGE","CreateTrainedModel",,"Training-ML_M6I_XLARGE","eu-west-1","AWS Clean Rooms"
|
|
|
|
| 1296 |
"QGN5XKSY2M7VRUE4","JRTCKXETXF","QGN5XKSY2M7VRUE4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.06 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-CleanRooms-SparkSQL-Compute","RunSparkSQLAnalysis","SparkSQL",,"eu-west-1","AWS Clean Rooms"
|
| 1297 |
"QGRR7HQNZDSRVPGX","JRTCKXETXF","QGRR7HQNZDSRVPGX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8000000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_M4_16XLARGE","CreateTrainedModel",,"Training-ML_M4_16XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 1298 |
"QHXV8JG4DAQMFVXE","JRTCKXETXF","QHXV8JG4DAQMFVXE.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.6080000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_M4_16XLARGE","CreateTrainedModel",,"Training-ML_M4_16XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1299 |
+
"QKBNFW9G37ZF57YH","JRTCKXETXF","QKBNFW9G37ZF57YH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.73 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in EU (Stockholm)","2025-07-01","0","Inf","CRPU-Hr","2.7300000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"eu-north-1","AWS Clean Rooms"
|
| 1300 |
"QKC9JF8RPFTTPU9X","JRTCKXETXF","QKC9JF8RPFTTPU9X.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1070000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-InferenceInstanceHours-ML_C7I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_LARGE","us-east-1","AWS Clean Rooms"
|
| 1301 |
"QKCDT8SU9URVXWVH","JRTCKXETXF","QKCDT8SU9URVXWVH.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","12.5180000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_G5_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_24XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1302 |
"QMJNEQ9X69A3U8TC","JRTCKXETXF","QMJNEQ9X69A3U8TC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8160000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C6I_4XLARGE","CreateTrainedModel",,"Training-ML_C6I_4XLARGE","us-west-2","AWS Clean Rooms"
|
| 1303 |
"QN9Q6SDR8W8NDWYE","JRTCKXETXF","QN9Q6SDR8W8NDWYE.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_G5_8XLARGE","CreateTrainedModel",,"Training-ML_G5_8XLARGE","us-west-2","AWS Clean Rooms"
|
| 1304 |
+
"QNE474DNWMQZ4EWF","JRTCKXETXF","QNE474DNWMQZ4EWF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.63 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.6300000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"ap-northeast-1","AWS Clean Rooms"
|
| 1305 |
"QNG4EYSF49QNXQSV","JRTCKXETXF","QNG4EYSF49QNXQSV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","18.3500000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_P3_8XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P3_8XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1306 |
"QQTX8NHJR3UGM4CT","JRTCKXETXF","QQTX8NHJR3UGM4CT.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.9270000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_P2_XLARGE","CreateTrainedModel",,"Training-ML_P2_XLARGE","ap-southeast-2","AWS Clean Rooms"
|
| 1307 |
"QQVXDGA4RTS5M5Q2","JRTCKXETXF","QQVXDGA4RTS5M5Q2.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1900000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_M5_4XLARGE","CreateTrainedModel",,"Training-ML_M5_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
|
|
| 1334 |
"RCHNRNP79XUXJHPN","JRTCKXETXF","RCHNRNP79XUXJHPN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.8160000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_C5_4XLARGE","CreateTrainedModel",,"Training-ML_C5_4XLARGE","us-west-2","AWS Clean Rooms"
|
| 1335 |
"REJKVTVEKMF92SXX","JRTCKXETXF","REJKVTVEKMF92SXX.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3840000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_R5D_XLARGE","CreateTrainedModel",,"Training-ML_R5D_XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1336 |
"RFPTXFD2GWFKQYFG","JRTCKXETXF","RFPTXFD2GWFKQYFG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.1800000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_G5_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_24XLARGE","us-west-2","AWS Clean Rooms"
|
| 1337 |
+
"RFRXRCA9ZZT4BDGJ","JRTCKXETXF","RFRXRCA9ZZT4BDGJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.06 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in EU (Frankfurt)","2025-07-01","0","Inf","CRPU-Hr","2.0600000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"eu-central-1","AWS Clean Rooms"
|
| 1338 |
"RHU5WPNZPBG9JMH7","JRTCKXETXF","RHU5WPNZPBG9JMH7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per 1,000 records","2025-07-01","0","Inf","Records","0.0000100000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-NumberOfTrainingRecords","CreateTrainedModel",,"Training","eu-central-1","AWS Clean Rooms"
|
| 1339 |
"RJ49K56NVQ5A4C7W","JRTCKXETXF","RJ49K56NVQ5A4C7W.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4700000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_C6I_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_2XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 1340 |
"RK2WY9ESNJ2J49RV","JRTCKXETXF","RK2WY9ESNJ2J49RV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.3650000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_R5_XLARGE","CreateTrainedModel",,"Training-ML_R5_XLARGE","eu-central-1","AWS Clean Rooms"
|
|
|
|
| 1384 |
"SG65W7WQG4P6SCM5","JRTCKXETXF","SG65W7WQG4P6SCM5.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.8710000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_C7I_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_16XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1385 |
"SGD3NAM3YV3Y9BXF","JRTCKXETXF","SGD3NAM3YV3Y9BXF.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-InferenceInstanceHours-ML_M5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_2XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1386 |
"SH2DVZANU8F897BM","JRTCKXETXF","SH2DVZANU8F897BM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.49 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-CleanRooms-SparkSQL-Compute","RunSparkSQLAnalysis","SparkSQL",,"eu-west-2","AWS Clean Rooms"
|
| 1387 |
+
"SH74ZZBCPNNFEQFD","JRTCKXETXF","SH74ZZBCPNNFEQFD.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.92 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLDifferentialPrivacy in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","1.9200000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-SparkSQL-Compute","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy",,"us-west-2","AWS Clean Rooms"
|
| 1388 |
"SHACR4K6H7JYX7F4","JRTCKXETXF","SHACR4K6H7JYX7F4.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4900000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_M6I_2XLARGE","CreateTrainedModel",,"Training-ML_M6I_2XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1389 |
"SHH6CWVGP8A6T76B","JRTCKXETXF","SHH6CWVGP8A6T76B.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.2800000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_G5_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_12XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1390 |
"SHPNV4Y6ZK93XJW8","JRTCKXETXF","SHPNV4Y6ZK93XJW8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0025 per 1,000 records","2025-07-01","0","Inf","Records","0.0000025000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-NumberOfInferenceRecords","StartTrainedModelInferenceJob",,"Inference","eu-north-1","AWS Clean Rooms"
|
|
|
|
| 1590 |
"VWYEMV7KJXHCFYNN","JRTCKXETXF","VWYEMV7KJXHCFYNN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.5870000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C6I_24XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_24XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1591 |
"VXXZ2FVSKYXVCJ7D","JRTCKXETXF","VXXZ2FVSKYXVCJ7D.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.25 per 1,000 profiles","2025-07-01","0","Inf","Profiles","0.0002500000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-StartAudienceExportJob","StartAudienceExportJob",,"Inference","ap-northeast-1","AWS Clean Rooms"
|
| 1592 |
"W2HZPQZEUCXFMM2Y","JRTCKXETXF","W2HZPQZEUCXFMM2Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2950000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_M4_XLARGE","CreateTrainedModel",,"Training-ML_M4_XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1593 |
+
"W35RTJ9HTWD23D7F","JRTCKXETXF","W35RTJ9HTWD23D7F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.99 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.9900000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"ap-northeast-1","AWS Clean Rooms"
|
| 1594 |
"W36M4VB3K56RB67N","JRTCKXETXF","W36M4VB3K56RB67N.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (N. Virginia)","AWS Region","USE1-TrainingInstanceHours-ML_P2_XLARGE","CreateTrainedModel",,"Training-ML_P2_XLARGE","us-east-1","AWS Clean Rooms"
|
| 1595 |
"W3TTWNNSARYP93DZ","JRTCKXETXF","W3TTWNNSARYP93DZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1810000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_4XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1596 |
"W4J3WHQPFAU9WVBQ","JRTCKXETXF","W4J3WHQPFAU9WVBQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.8430000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-TrainingInstanceHours-ML_M6I_8XLARGE","CreateTrainedModel",,"Training-ML_M6I_8XLARGE","us-east-2","AWS Clean Rooms"
|
|
|
|
| 1659 |
"X8YX93KR7ABEP74R","JRTCKXETXF","X8YX93KR7ABEP74R.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.8750000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_M6I_24XLARGE","CreateTrainedModel",,"Training-ML_M6I_24XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1660 |
"X9SNH7MHEWQH4D6R","JRTCKXETXF","X9SNH7MHEWQH4D6R.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","3.4940000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_C6I_16XLARGE","CreateTrainedModel",,"Training-ML_C6I_16XLARGE","eu-north-1","AWS Clean Rooms"
|
| 1661 |
"X9WKPHZR8J7SH3Y9","JRTCKXETXF","X9WKPHZR8J7SH3Y9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.4030000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_G5_16XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_G5_16XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1662 |
+
"XA5T59WN6BCTA8XN","JRTCKXETXF","XA5T59WN6BCTA8XN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.16 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in US East (Ohio)","2025-07-01","0","Inf","CRPU-Hr","2.1600000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"us-east-2","AWS Clean Rooms"
|
| 1663 |
"XAA4A38JDUGCB9AN","JRTCKXETXF","XAA4A38JDUGCB9AN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.0520000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_T3_MEDIUM","CreateTrainedModel",,"Training-ML_T3_MEDIUM","eu-north-1","AWS Clean Rooms"
|
| 1664 |
"XBQ2Z2YZBER6PDMG","JRTCKXETXF","XBQ2Z2YZBER6PDMG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.1090000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_M6I_16XLARGE","CreateTrainedModel",,"Training-ML_M6I_16XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1665 |
"XC2J88RDSV6PJK2U","JRTCKXETXF","XC2J88RDSV6PJK2U.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","5.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
|
|
| 1668 |
"XDMGW9R498KRCVNN","JRTCKXETXF","XDMGW9R498KRCVNN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1330000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-InferenceInstanceHours-ML_C6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_LARGE","ap-southeast-2","AWS Clean Rooms"
|
| 1669 |
"XDMU8G4MG3PQPNXK","JRTCKXETXF","XDMU8G4MG3PQPNXK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.655 per CRPU-Hr for CleanRooms-SQL-Compute:RunSQLAnalysis in EU (Stockholm)","2025-07-01","0","Inf","CRPU-Hr","0.6550000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-CleanRooms-SQL-Compute","RunSQLAnalysis","SQL",,"eu-north-1","AWS Clean Rooms"
|
| 1670 |
"XDXB924YSRDFWKJB","JRTCKXETXF","XDXB924YSRDFWKJB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.9330000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-InferenceInstanceHours-ML_C7I_12XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C7I_12XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1671 |
+
"XFBA7KCVWJQC4HTV","JRTCKXETXF","XFBA7KCVWJQC4HTV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.66 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Seoul)","2025-07-01","0","Inf","CRPU-Hr","2.6600000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"ap-northeast-2","AWS Clean Rooms"
|
| 1672 |
"XFS438TGVQPBFXJZ","JRTCKXETXF","XFS438TGVQPBFXJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.156 per hours for APN2-TrainingInstanceHours-ML_G4DN_2XLARGE in Asia Pacific (Seoul)","2025-07-01","0","Inf","hours","1.1560000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-TrainingInstanceHours-ML_G4DN_2XLARGE","CreateTrainedModel",,"Training-ML_G4DN_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1673 |
"XGCKMUFVDF8M7UGN","JRTCKXETXF","XGCKMUFVDF8M7UGN.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.1310000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-TrainingInstanceHours-ML_P3_2XLARGE","CreateTrainedModel",,"Training-ML_P3_2XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1674 |
"XGMHG7U5CBESV9JS","JRTCKXETXF","XGMHG7U5CBESV9JS.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","9.5230000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_M6I_32XLARGE","CreateTrainedModel",,"Training-ML_M6I_32XLARGE","ap-northeast-1","AWS Clean Rooms"
|
|
|
|
| 1700 |
"Y2XNRH8X8SA3WQ6Z","JRTCKXETXF","Y2XNRH8X8SA3WQ6Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.0660000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_M4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M4_4XLARGE","eu-west-1","AWS Clean Rooms"
|
| 1701 |
"Y327YMB67W2J4PUV","JRTCKXETXF","Y327YMB67W2J4PUV.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1780000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5_LARGE","CreateTrainedModel",,"Training-ML_R5_LARGE","eu-west-2","AWS Clean Rooms"
|
| 1702 |
"Y3DQRTE6B6RA56ZK","JRTCKXETXF","Y3DQRTE6B6RA56ZK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0025 per 1,000 records","2025-07-01","0","Inf","Records","0.0000025000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-NumberOfInferenceRecords","StartTrainedModelInferenceJob",,"Inference","ap-northeast-1","AWS Clean Rooms"
|
| 1703 |
+
"Y48J28DNXSQJ2GKJ","JRTCKXETXF","Y48J28DNXSQJ2GKJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.87 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in US East (Ohio)","2025-07-01","0","Inf","CRPU-Hr","1.8700000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"us-east-2","AWS Clean Rooms"
|
| 1704 |
"Y4AKTVAXNBMBGMD9","JRTCKXETXF","Y4AKTVAXNBMBGMD9.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","6.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Frankfurt)","AWS Region","EUC1-TrainingInstanceHours-ML_G5_16XLARGE","CreateTrainedModel",,"Training-ML_G5_16XLARGE","eu-central-1","AWS Clean Rooms"
|
| 1705 |
"Y4XW77EX3E59AMX4","JRTCKXETXF","Y4XW77EX3E59AMX4.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.4610000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M5_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_2XLARGE","us-east-2","AWS Clean Rooms"
|
| 1706 |
"Y5BNVSYBZQWHC9YQ","JRTCKXETXF","Y5BNVSYBZQWHC9YQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.9580000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Stockholm)","AWS Region","EUN1-TrainingInstanceHours-ML_M6I_8XLARGE","CreateTrainedModel",,"Training-ML_M6I_8XLARGE","eu-north-1","AWS Clean Rooms"
|
|
|
|
| 1751 |
"YY2XXJBXWAYTDMZC","JRTCKXETXF","YY2XXJBXWAYTDMZC.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2880000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-InferenceInstanceHours-ML_M5_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M5_XLARGE","ap-southeast-1","AWS Clean Rooms"
|
| 1752 |
"YY7JV9XCPXDRTBXJ","JRTCKXETXF","YY7JV9XCPXDRTBXJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.2420000000","USD","AWS Clean Rooms","AWSCleanRooms","US East (Ohio)","AWS Region","USE2-InferenceInstanceHours-ML_M7I_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M7I_XLARGE","us-east-2","AWS Clean Rooms"
|
| 1753 |
"YYN98NX7AQZKHZ69","JRTCKXETXF","YYN98NX7AQZKHZ69.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.1090000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (Ireland)","AWS Region","EU-InferenceInstanceHours-ML_C6I_LARGE","StartTrainedModelInferenceJob",,"Inference-ML_C6I_LARGE","eu-west-1","AWS Clean Rooms"
|
| 1754 |
+
"YZN227DQ82NFSGSG","JRTCKXETXF","YZN227DQ82NFSGSG.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.16 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-120-memory:RunSparkSQLDifferentialPrivacy in US West (Oregon)","2025-07-01","0","Inf","CRPU-Hr","2.1600000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-CleanRooms-SparkSQL-Compute-4x-LD-120-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-120-memory",,"us-west-2","AWS Clean Rooms"
|
| 1755 |
"Z24R4AQEHJU5S2ZB","JRTCKXETXF","Z24R4AQEHJU5S2ZB.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.9380000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-TrainingInstanceHours-ML_C5N_9XLARGE","CreateTrainedModel",,"Training-ML_C5N_9XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1756 |
"Z3F28VP7CVYD4RHZ","JRTCKXETXF","Z3F28VP7CVYD4RHZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","0.5660000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Seoul)","AWS Region","APN2-InferenceInstanceHours-ML_M6I_2XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_M6I_2XLARGE","ap-northeast-2","AWS Clean Rooms"
|
| 1757 |
"Z3PF2Q7CP2ABBP7B","JRTCKXETXF","Z3PF2Q7CP2ABBP7B.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","2.6394000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-TrainingInstanceHours-ML_G5_4XLARGE","CreateTrainedModel",,"Training-ML_G5_4XLARGE","ap-southeast-2","AWS Clean Rooms"
|
|
|
|
| 1812 |
"ZVFPJJQWAQ3AM2Y6","JRTCKXETXF","ZVFPJJQWAQ3AM2Y6.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","4.8670000000","USD","AWS Clean Rooms","AWSCleanRooms","EU (London)","AWS Region","EUW2-TrainingInstanceHours-ML_R5D_12XLARGE","CreateTrainedModel",,"Training-ML_R5D_12XLARGE","eu-west-2","AWS Clean Rooms"
|
| 1813 |
"ZVKCDT846HQDUVKE","JRTCKXETXF","ZVKCDT846HQDUVKE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.4 per CRPU-Hr for CleanRooms-SparkSQL-Compute:RunSparkSQLAnalysis in Asia Pacific (Tokyo)","2025-07-01","0","Inf","CRPU-Hr","2.4000000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-CleanRooms-SparkSQL-Compute","RunSparkSQLAnalysis","SparkSQL",,"ap-southeast-1","AWS Clean Rooms"
|
| 1814 |
"ZVSXV6NNZZ4P637T","JRTCKXETXF","ZVSXV6NNZZ4P637T.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","10.1800000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-TrainingInstanceHours-ML_G5_24XLARGE","CreateTrainedModel",,"Training-ML_G5_24XLARGE","us-west-2","AWS Clean Rooms"
|
| 1815 |
+
"ZWQ2KBWP4MK6PH8W","JRTCKXETXF","ZWQ2KBWP4MK6PH8W.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.18 per CRPU-Hr for CleanRooms-SparkSQL-Compute-4x-LD-80-memory:RunSparkSQLDifferentialPrivacy in Asia Pacific (Sydney)","2025-07-01","0","Inf","CRPU-Hr","2.1800000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Sydney)","AWS Region","APS2-CleanRooms-SparkSQL-Compute-4x-LD-80-memory","RunSparkSQLDifferentialPrivacy","SparkSQLDifferentialPrivacy-4x-LD-80-memory",,"ap-southeast-2","AWS Clean Rooms"
|
| 1816 |
"ZXWX6GTK5TAHVBJG","JRTCKXETXF","ZXWX6GTK5TAHVBJG.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.1250000000","USD","AWS Clean Rooms","AWSCleanRooms","US West (Oregon)","AWS Region","USW2-InferenceInstanceHours-ML_P2_XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_P2_XLARGE","us-west-2","AWS Clean Rooms"
|
| 1817 |
"ZYDK956UECYXF74J","JRTCKXETXF","ZYDK956UECYXF74J.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","1.2100000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Tokyo)","AWS Region","APN1-InferenceInstanceHours-ML_C4_4XLARGE","StartTrainedModelInferenceJob",,"Inference-ML_C4_4XLARGE","ap-northeast-1","AWS Clean Rooms"
|
| 1818 |
"ZYSTFWAJWF34TZFW","JRTCKXETXF","ZYSTFWAJWF34TZFW.JRTCKXETXF.6YS6EN2CT7","OnDemand","AWS Clean Rooms ML Custom Modeling- Compute","2025-07-01","0","Inf","hours","45.2260000000","USD","AWS Clean Rooms","AWSCleanRooms","Asia Pacific (Singapore)","AWS Region","APS1-TrainingInstanceHours-ML_P4D_24XLARGE","CreateTrainedModel",,"Training-ML_P4D_24XLARGE","ap-southeast-1","AWS Clean Rooms"
|
AWSDatabaseMigrationSvc.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AWSDirectConnect.csv
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6a268ad861589dc17bb7fbd24ad379e45de5718fd68599f971459acb0f64434
|
| 3 |
+
size 19301008
|
AWSDirectoryService.csv
CHANGED
|
@@ -2,14 +2,20 @@
|
|
| 2 |
"266KXNAEYCECP8Y5","JRTCKXETXF","266KXNAEYCECP8Y5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0189 per hour per account to which a Microsoft AD (Standard) directory is shared in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.0189000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"mx-central-1","AWS Directory Service"
|
| 3 |
"26RBPQKCSWGTSPH3","JRTCKXETXF","26RBPQKCSWGTSPH3.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0690 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-3","AWS Directory Service"
|
| 4 |
"27TM2ZFY84XK3DU7","JRTCKXETXF","27TM2ZFY84XK3DU7.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0672 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0672000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-1","AWS Directory Service"
|
|
|
|
| 5 |
"28A83X5SWYP85FN8","JRTCKXETXF","28A83X5SWYP85FN8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0550 per hour for Simple AD (Small) in EU (Ireland)","2025-07-01","0","Inf","Hrs","0.0550000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"eu-west-1","AWS Directory Service"
|
| 6 |
"29ABUT9US764YV8H","JRTCKXETXF","29ABUT9US764YV8H.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1750 per hour for Large AD Connector per directory usage in Isarel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.1750000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"il-central-1","AWS Directory Service"
|
|
|
|
| 7 |
"2EFTUBE5NEM4EJJQ","JRTCKXETXF","2EFTUBE5NEM4EJJQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0210 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0210000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-1","AWS Directory Service"
|
| 8 |
"2GPM5KZ3WMTJUMBT","JRTCKXETXF","2GPM5KZ3WMTJUMBT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0192 per hour per account to which a Microsoft AD (Standard) directory is shared in Canada (Central)","2025-07-01","0","Inf","Hrs","0.0192000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ca-central-1","AWS Directory Service"
|
| 9 |
"2KPUDHTVNKEN998N","JRTCKXETXF","2KPUDHTVNKEN998N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.209 per hour for a Microsoft AD directory controller in the Asia Pacific (Seoul) region","2025-07-01","0","Inf","Hrs","0.2090000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-2","AWS Directory Service"
|
|
|
|
| 10 |
"2V26AT9UE8CZHET5","JRTCKXETXF","2V26AT9UE8CZHET5.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0669 per Hour per account to which a Microsoft AD (Enterprise) directory is shared in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0669000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-central-1","AWS Directory Service"
|
| 11 |
"327BQ9R9TJSGC37T","JRTCKXETXF","327BQ9R9TJSGC37T.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0615 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.0615000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-2","AWS Directory Service"
|
| 12 |
"37GAQ9HRJD6PPXC9","JRTCKXETXF","37GAQ9HRJD6PPXC9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.06675 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0667500000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-1","AWS Directory Service"
|
|
|
|
|
|
|
|
|
|
| 13 |
"39EEEKZNR4ZBXW7W","JRTCKXETXF","39EEEKZNR4ZBXW7W.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0710 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.0710000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-4","AWS Directory Service"
|
| 14 |
"3F66VRDQUY6DTNQB","JRTCKXETXF","3F66VRDQUY6DTNQB.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour for Small AD Connector per directory usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-gov-east-1","AWS Directory Service"
|
| 15 |
"3KSWFBFXWU87KRUW","JRTCKXETXF","3KSWFBFXWU87KRUW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.071 per hour for Microsoft AD (Standard Edition) domain controllers in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.0710000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-1","AWS Directory Service"
|
|
@@ -26,10 +32,14 @@
|
|
| 26 |
"4TVRKP7UJDQBTSDY","JRTCKXETXF","4TVRKP7UJDQBTSDY.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0557 per hour for Small AD Connector per directory usage in Canada (Central)","2025-07-01","0","Inf","Hrs","0.0557000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ca-central-1","AWS Directory Service"
|
| 27 |
"4W5JAX5WMSE7XGE9","JRTCKXETXF","4W5JAX5WMSE7XGE9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-3","AWS Directory Service"
|
| 28 |
"4WKR9K44PMDVH6RN","JRTCKXETXF","4WKR9K44PMDVH6RN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2 per hour for a Microsoft AD directory controller in the US West (Oregon) region","2025-07-01","0","Inf","Hrs","0.2000000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-2","AWS Directory Service"
|
|
|
|
| 29 |
"5R8AY8VDTDE9FMUG","JRTCKXETXF","5R8AY8VDTDE9FMUG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0744 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0744000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-1","AWS Directory Service"
|
|
|
|
| 30 |
"5WMVXFWSSMWD7SQV","JRTCKXETXF","5WMVXFWSSMWD7SQV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.218 per hour for a Microsoft AD directory controller in the US West (N. California) region","2025-07-01","0","Inf","Hrs","0.2180000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-1","AWS Directory Service"
|
|
|
|
| 31 |
"64V88PNCE6U9DHWN","JRTCKXETXF","64V88PNCE6U9DHWN.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0635 per hour for Small AD Connector per directory usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.0635000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-4","AWS Directory Service"
|
| 32 |
"67HRPZVYASRJHTWZ","JRTCKXETXF","67HRPZVYASRJHTWZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0500 per hour for Simple AD (Small) in US East (N. Virginia)","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"us-east-1","AWS Directory Service"
|
|
|
|
| 33 |
"6BK744QZNMJ7EU4Q","JRTCKXETXF","6BK744QZNMJ7EU4Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.05 per hour for a small directory in the US West (Oregon) region","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"us-west-2","AWS Directory Service"
|
| 34 |
"6RFV6P5VX33GTF4R","JRTCKXETXF","6RFV6P5VX33GTF4R.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0720 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hrs","0.0720000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-2","AWS Directory Service"
|
| 35 |
"6S3TE2N3XCWSKCQT","JRTCKXETXF","6S3TE2N3XCWSKCQT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1984 per hour for Large AD Connector per directory usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.1984000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-central-2","AWS Directory Service"
|
|
@@ -41,13 +51,18 @@
|
|
| 41 |
"7CWB826W9Y66QHC8","JRTCKXETXF","7CWB826W9Y66QHC8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0654 per hour for Small AD Connector per directory usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0654000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-northeast-3","AWS Directory Service"
|
| 42 |
"7KJSDUYZF78JTXPF","JRTCKXETXF","7KJSDUYZF78JTXPF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2788 per hour for Microsoft AD (Enterprise) per domain controller usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.2788000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-gov-east-1","AWS Directory Service"
|
| 43 |
"7NGFSEHNBN627XK2","JRTCKXETXF","7NGFSEHNBN627XK2.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0210 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0210000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-2","AWS Directory Service"
|
|
|
|
| 44 |
"7WAUVV7WDKB2H6EH","JRTCKXETXF","7WAUVV7WDKB2H6EH.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0635 per hour for Small AD Connector per directory usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.0635000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-central-2","AWS Directory Service"
|
|
|
|
| 45 |
"863VKGHQHTRSWTMQ","JRTCKXETXF","863VKGHQHTRSWTMQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0572 per hour for AD Connector (Small) per directory usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0572000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-5","AWS Directory Service"
|
|
|
|
| 46 |
"8GBEXR8ZAZYF7KM8","JRTCKXETXF","8GBEXR8ZAZYF7KM8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0945 per hour for Microsoft AD (Standard) per domain controller usage in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0945000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-gov-west-1","AWS Directory Service"
|
| 47 |
"8JGSBRMZH773RTT3","JRTCKXETXF","8JGSBRMZH773RTT3.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0650 per hour for Microsoft AD (Standard) per domain controller usage in Canada West (Calgary)","2025-07-01","0","Inf","Hrs","0.0650000000","USD","AWS Directory Service","AWSDirectoryService","Canada West (Calgary)","AWS Region","CAN2-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-west-1","AWS Directory Service"
|
| 48 |
"8YK528KDXD3YDZZ4","JRTCKXETXF","8YK528KDXD3YDZZ4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0525 per hour for AD Connector (Small) per directory usage in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.0525000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"mx-central-1","AWS Directory Service"
|
| 49 |
"94JBT4QKZC2HFEVA","JRTCKXETXF","94JBT4QKZC2HFEVA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.063 per hour for Microsoft AD (Standard Edition) domain controllers in the EU (Ireland) region","2025-07-01","0","Inf","Hrs","0.0630000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-1","AWS Directory Service"
|
| 50 |
"94UHRFT2UMY2UNGN","JRTCKXETXF","94UHRFT2UMY2UNGN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per hour for a large AD Connector directory in the EU (Frankfurt) region","2025-07-01","0","Inf","Hrs","0.1800000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-central-1","AWS Directory Service"
|
|
|
|
|
|
|
| 51 |
"9DBBF9RAC3FD3Q5J","JRTCKXETXF","9DBBF9RAC3FD3Q5J.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2120 per hour for Microsoft AD (Enterprise) per domain controller usage in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.2120000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-south-2","AWS Directory Service"
|
| 52 |
"9E8UW6YY8YDBCQAF","JRTCKXETXF","9E8UW6YY8YDBCQAF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.07 per hour for Microsoft AD (Standard Edition) domain controllers in the Asia Pacific (Mumbai) region","2025-07-01","0","Inf","Hrs","0.0700000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-south-1","AWS Directory Service"
|
| 53 |
"9G9DCR3ZURCQMSRU","JRTCKXETXF","9G9DCR3ZURCQMSRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.248 per hour for a Microsoft AD directory controller in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.2480000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-1","AWS Directory Service"
|
|
@@ -61,6 +76,7 @@
|
|
| 61 |
"9V7B9984QE7WPEPU","JRTCKXETXF","9V7B9984QE7WPEPU.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2050 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.2050000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-south-2","AWS Directory Service"
|
| 62 |
"A5X3SUCMZG8FV9VE","JRTCKXETXF","A5X3SUCMZG8FV9VE.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1665 per hour for Large AD Connector per directory usage in Canada (Central)","2025-07-01","0","Inf","Hrs","0.1665000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ca-central-1","AWS Directory Service"
|
| 63 |
"ABHBD8YQ9NQD5R4T","JRTCKXETXF","ABHBD8YQ9NQD5R4T.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0603 per hour for Small AD Connector per directory usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0603000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"me-south-1","AWS Directory Service"
|
|
|
|
| 64 |
"AC68YU3EVCUHHMQF","JRTCKXETXF","AC68YU3EVCUHHMQF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0636 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0636000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-2","AWS Directory Service"
|
| 65 |
"ARU65RUZPY4AFJJG","JRTCKXETXF","ARU65RUZPY4AFJJG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0669 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0669000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-south-1","AWS Directory Service"
|
| 66 |
"ATWEW3Y4AG3FR4FM","JRTCKXETXF","ATWEW3Y4AG3FR4FM.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0577 per hour for Small AD Connector per directory usage in Europe (Milan)","2025-07-01","0","Inf","Hrs","0.0577000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-south-1","AWS Directory Service"
|
|
@@ -73,12 +89,16 @@
|
|
| 73 |
"BNKT2ED8B2QHDX2Z","JRTCKXETXF","BNKT2ED8B2QHDX2Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0626 per hour for Small AD Connector per directory usage in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0626000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-northeast-2","AWS Directory Service"
|
| 74 |
"BRCEA988QT9G6GKG","JRTCKXETXF","BRCEA988QT9G6GKG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1875 per hour for Large AD Connector per directory usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.1875000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-4","AWS Directory Service"
|
| 75 |
"BWJCVFEBGC3QR3UW","JRTCKXETXF","BWJCVFEBGC3QR3UW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.068 per hour for Microsoft AD (Standard Edition) domain controllers in the US West (N. California) region","2025-07-01","0","Inf","Hrs","0.0680000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-1","AWS Directory Service"
|
|
|
|
| 76 |
"C5U5TSGDBQXXGHXN","JRTCKXETXF","C5U5TSGDBQXXGHXN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1594 per hour for AD Connector (Large) per directory usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.1594000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-7","AWS Directory Service"
|
| 77 |
"C79CVVQR9BZZUVQX","JRTCKXETXF","C79CVVQR9BZZUVQX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0192 per hour per account to which a Microsoft AD (Standard) directory is shared in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0192000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-2","AWS Directory Service"
|
| 78 |
"C9HZUYN8BC5XCPYV","JRTCKXETXF","C9HZUYN8BC5XCPYV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.17 per hour for a large Simple AD directory in the EU (Ireland) region","2025-07-01","0","Inf","Hrs","0.1700000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Large-SimpleAD-Usage","Hourly","Large","Simple AD","Simple AD",,"eu-west-1","AWS Directory Service"
|
|
|
|
| 79 |
"CCTPQS7WSJU8HKGD","JRTCKXETXF","CCTPQS7WSJU8HKGD.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large AD Connector directory in the Asia Pacific (Tokyo) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-northeast-1","AWS Directory Service"
|
|
|
|
| 80 |
"CGVU2V85B5RXEYHP","JRTCKXETXF","CGVU2V85B5RXEYHP.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0836 per hour per account to which a Microsoft AD (Enterprise) directory is shared in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0836000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-gov-west-1","AWS Directory Service"
|
| 81 |
"CJX6U23YBZ6VUUYU","JRTCKXETXF","CJX6U23YBZ6VUUYU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.08 per hour for a small directory in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"ap-southeast-1","AWS Directory Service"
|
|
|
|
| 82 |
"D428NVHT5XP7EW6D","JRTCKXETXF","D428NVHT5XP7EW6D.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0654 per hour per account to which a Microsoft AD (Enterprise) directory is shared in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0654000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-1","AWS Directory Service"
|
| 83 |
"D883FE2FSAGPMR29","JRTCKXETXF","D883FE2FSAGPMR29.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0577 per hour for Small AD Connector per directory usage in Israel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.0577000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"il-central-1","AWS Directory Service"
|
| 84 |
"DGCCUNGPRBFZPV5Y","JRTCKXETXF","DGCCUNGPRBFZPV5Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour per account to which a Microsoft AD (Enterprise) directory is shared in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-east-2","AWS Directory Service"
|
|
@@ -87,14 +107,22 @@
|
|
| 87 |
"DWWY7QR4Z36RGQ7Z","JRTCKXETXF","DWWY7QR4Z36RGQ7Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0258 per hour per account to which a Microsoft AD (Standard) directory is shared in South America (Sao Paulo)","2025-07-01","0","Inf","Hrs","0.0258000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"sa-east-1","AWS Directory Service"
|
| 88 |
"DYTHE2T27DBGSH26","JRTCKXETXF","DYTHE2T27DBGSH26.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1750 per hour for Large AD Connector per directory usage in Europe (Milan)","2025-07-01","0","Inf","Hrs","0.1750000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-south-1","AWS Directory Service"
|
| 89 |
"E2892QJ7CNXAX7DA","JRTCKXETXF","E2892QJ7CNXAX7DA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.222 per hour for a Microsoft AD directory controller in the EU (Frankfurt) region","2025-07-01","0","Inf","Hrs","0.2220000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-central-1","AWS Directory Service"
|
|
|
|
| 90 |
"E4PKFHV3XTN5QHAK","JRTCKXETXF","E4PKFHV3XTN5QHAK.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0519 per hour for Small AD Connector per directory usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0519000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-north-1","AWS Directory Service"
|
| 91 |
"E593AC26ES2MBYRU","JRTCKXETXF","E593AC26ES2MBYRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large Simple AD directory in the Asia Pacific (Sydney) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Large-SimpleAD-Usage","Hourly","Large","Simple AD","Simple AD",,"ap-southeast-2","AWS Directory Service"
|
|
|
|
|
|
|
|
|
|
| 92 |
"EBUNSFHMRQDS9ECD","JRTCKXETXF","EBUNSFHMRQDS9ECD.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour for Small AD Connector per directory usage in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-gov-west-1","AWS Directory Service"
|
| 93 |
"EH2XQMCSKXAKSHFR","JRTCKXETXF","EH2XQMCSKXAKSHFR.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0783 per hour per account to which a Microsoft AD (Enterprise) directory is shared in South America (Sao Paulo)","2025-07-01","0","Inf","Hrs","0.0783000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"sa-east-1","AWS Directory Service"
|
|
|
|
|
|
|
| 94 |
"EWQ7VWMDWQJZ7UDC","JRTCKXETXF","EWQ7VWMDWQJZ7UDC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2100 per hour for Microsoft AD (Enterprise) per domain controller usage in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.2100000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"mx-central-1","AWS Directory Service"
|
| 95 |
"EWZGZAUH9MGYW22Q","JRTCKXETXF","EWZGZAUH9MGYW22Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0660 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0660000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-7","AWS Directory Service"
|
|
|
|
| 96 |
"F3YG3KWNDQR3FTXZ","JRTCKXETXF","F3YG3KWNDQR3FTXZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0800 per hour for Simple AD (Small) in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"ap-northeast-1","AWS Directory Service"
|
| 97 |
"F82NAAST5RYMCH4E","JRTCKXETXF","F82NAAST5RYMCH4E.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0213 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0213000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-1","AWS Directory Service"
|
|
|
|
| 98 |
"FG2VHSPRCC92U83Q","JRTCKXETXF","FG2VHSPRCC92U83Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0660 per hour for Microsoft AD (Standard) per domain controller usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0660000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-3","AWS Directory Service"
|
| 99 |
"FJCNG2QRJ67E2959","JRTCKXETXF","FJCNG2QRJ67E2959.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.08 per hour for a small directory in the Asia Pacific (Tokyo) region","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"ap-northeast-1","AWS Directory Service"
|
| 100 |
"FJTBMSRTRDSR64HS","JRTCKXETXF","FJTBMSRTRDSR64HS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-5","AWS Directory Service"
|
|
@@ -104,9 +132,11 @@
|
|
| 104 |
"FXZ6F6YVX632TJRT","JRTCKXETXF","FXZ6F6YVX632TJRT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1594 per hour for Large AD Connector per directory usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.1594000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-north-1","AWS Directory Service"
|
| 105 |
"G3QTVGTK98FM4X9Q","JRTCKXETXF","G3QTVGTK98FM4X9Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0219 per hour per account to which a Microsoft AD (Standard) directory is shared in Africa (Cape Town)","2025-07-01","0","Inf","Hrs","0.0219000000","USD","AWS Directory Service","AWSDirectoryService","Africa (Cape Town)","AWS Region","AFS1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"af-south-1","AWS Directory Service"
|
| 106 |
"G7HUKZWZ2MWNZTWN","JRTCKXETXF","G7HUKZWZ2MWNZTWN.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0219 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0219000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-1","AWS Directory Service"
|
|
|
|
| 107 |
"GHMB7QWSPNVXYNR4","JRTCKXETXF","GHMB7QWSPNVXYNR4.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0231 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0231000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-east-1","AWS Directory Service"
|
| 108 |
"GMNC25S8G72Z3FPB","JRTCKXETXF","GMNC25S8G72Z3FPB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0800 per hour for Simple AD (Small) in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"ap-southeast-1","AWS Directory Service"
|
| 109 |
"GQMUM5UCKKAH49DT","JRTCKXETXF","GQMUM5UCKKAH49DT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0572 per hour for AD Connector (Small) per directory usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0572000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-7","AWS Directory Service"
|
|
|
|
| 110 |
"GWEUXXV65W3856JC","JRTCKXETXF","GWEUXXV65W3856JC.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0627 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0627000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-2","AWS Directory Service"
|
| 111 |
"GXM6BQ3ZWAVFNB4R","JRTCKXETXF","GXM6BQ3ZWAVFNB4R.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1984 per hour for Large AD Connector per directory usage in Africa (Cape Town)","2025-07-01","0","Inf","Hrs","0.1984000000","USD","AWS Directory Service","AWSDirectoryService","Africa (Cape Town)","AWS Region","AFS1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"af-south-1","AWS Directory Service"
|
| 112 |
"H8DJEPPG8SJM294F","JRTCKXETXF","H8DJEPPG8SJM294F.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2063 per hour for Large AD Connector per directory usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.2063000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-east-1","AWS Directory Service"
|
|
@@ -118,23 +148,29 @@
|
|
| 118 |
"HSJCFFQ54EMK2XEQ","JRTCKXETXF","HSJCFFQ54EMK2XEQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0800 per hour for Simple AD (Small) in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"ap-southeast-2","AWS Directory Service"
|
| 119 |
"HSVXA75X4FP3X972","JRTCKXETXF","HSVXA75X4FP3X972.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0186 per hour per account to which a Microsoft AD (Standard) directory is shared in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0186000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-north-1","AWS Directory Service"
|
| 120 |
"HWMMQ7RBPN6WD2FV","JRTCKXETXF","HWMMQ7RBPN6WD2FV.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1937 per hour for Large AD Connector per directory usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.1937000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-northeast-3","AWS Directory Service"
|
|
|
|
| 121 |
"J7NVJGTFHRTUN8BP","JRTCKXETXF","J7NVJGTFHRTUN8BP.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour for Small AD Connector per directory usage in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-west-1","AWS Directory Service"
|
| 122 |
"JDC249WB876AFK6G","JRTCKXETXF","JDC249WB876AFK6G.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0635 per hour for Small AD Connector per directory usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0635000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-3","AWS Directory Service"
|
| 123 |
"JFD37BXM2MUGDQBZ","JRTCKXETXF","JFD37BXM2MUGDQBZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large Simple AD directory in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Large-SimpleAD-Usage","Hourly","Large","Simple AD","Simple AD",,"ap-southeast-1","AWS Directory Service"
|
| 124 |
"JHP7EJGFVUYHAD2X","JRTCKXETXF","JHP7EJGFVUYHAD2X.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2260 per hour for Microsoft AD (Enterprise) per domain controller usage Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.2260000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-4","AWS Directory Service"
|
|
|
|
| 125 |
"JM2NDFAKAHR86PS5","JRTCKXETXF","JM2NDFAKAHR86PS5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.070 per hour for Microsoft AD (Standard Edition) domain controllers in the Asia Pacific (Seoul) region","2025-07-01","0","Inf","Hrs","0.0700000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-2","AWS Directory Service"
|
| 126 |
"JU5X8RZ2JA79QZE2","JRTCKXETXF","JU5X8RZ2JA79QZE2.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0284 per hour per account to which a Microsoft AD (Standard) directory is shared in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0284000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-gov-west-1","AWS Directory Service"
|
| 127 |
"JV3S22PP2AY4TJNX","JRTCKXETXF","JV3S22PP2AY4TJNX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2060 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.2060000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-5","AWS Directory Service"
|
| 128 |
"JVRMN49C6GXMPRN4","JRTCKXETXF","JVRMN49C6GXMPRN4.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2230 per Hour for Microsoft AD (Enterprise) per domain controller usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.2230000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-central-1","AWS Directory Service"
|
|
|
|
| 129 |
"K3HT945UPQ4J2PXA","JRTCKXETXF","K3HT945UPQ4J2PXA.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0651 per hour per account to which a Microsoft AD (Enterprise) directory is shared in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0651000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-3","AWS Directory Service"
|
| 130 |
"K54GX8GJE4UZ4J92","JRTCKXETXF","K54GX8GJE4UZ4J92.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0204 per hour per account to which a Microsoft AD (Standard) directory is shared in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0204000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-1","AWS Directory Service"
|
| 131 |
"K7PSX5JZ2SEWZ48V","JRTCKXETXF","K7PSX5JZ2SEWZ48V.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0690 per hour for Microsoft AD (Standard) per domain controller usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-central-1","AWS Directory Service"
|
| 132 |
"KEZKVK7JD78TUW8P","JRTCKXETXF","KEZKVK7JD78TUW8P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.17 per hour for a large AD Connector directory in the EU (London) region","2025-07-01","0","Inf","Hrs","0.1700000000","USD","AWS Directory Service","AWSDirectoryService","EU (London)","AWS Region","EUW2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-west-2","AWS Directory Service"
|
|
|
|
| 133 |
"KU49VY99T3VE5D6S","JRTCKXETXF","KU49VY99T3VE5D6S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0618 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0618000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-7","AWS Directory Service"
|
| 134 |
"KWDSD5DHUDJK85S9","JRTCKXETXF","KWDSD5DHUDJK85S9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2170 per hour for Microsoft AD (Enterprise) per domain controller usage Isarel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.2170000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"il-central-1","AWS Directory Service"
|
| 135 |
"M3ZFKSQ9BUP7MH7U","JRTCKXETXF","M3ZFKSQ9BUP7MH7U.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0500 per hour for Small AD Connector per directory usage in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-east-2","AWS Directory Service"
|
| 136 |
"MCFVKZ4873X8UE9P","JRTCKXETXF","MCFVKZ4873X8UE9P.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2330 per hour for Microsoft AD (Enterprise) per domain controller usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.2330000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-central-2","AWS Directory Service"
|
| 137 |
"MFXNXUN6ADS3RT46","JRTCKXETXF","MFXNXUN6ADS3RT46.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2380 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.2380000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-east-1","AWS Directory Service"
|
|
|
|
|
|
|
| 138 |
"MP22FMZCTFCJTNR6","JRTCKXETXF","MP22FMZCTFCJTNR6.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2230 per hour for Microsoft AD (Enterprise) per domain controller usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.2230000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-south-1","AWS Directory Service"
|
| 139 |
"MXM66CTF7M9EXBBH","JRTCKXETXF","MXM66CTF7M9EXBBH.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0539 per hour for Small AD Connector per directory usage in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0539000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-south-1","AWS Directory Service"
|
| 140 |
"N3KAK58QDQWY43NK","JRTCKXETXF","N3KAK58QDQWY43NK.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in Europe (Milan)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-1","AWS Directory Service"
|
|
@@ -158,6 +194,8 @@
|
|
| 158 |
"Q4KTE7S6JDJF8UYR","JRTCKXETXF","Q4KTE7S6JDJF8UYR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.08 per hour for a small directory in the Asia Pacific (Sydney) region","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"ap-southeast-2","AWS Directory Service"
|
| 159 |
"Q827ADJMV2W2QS52","JRTCKXETXF","Q827ADJMV2W2QS52.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.17 per hour for a large AD Connector directory in the EU (Ireland) region","2025-07-01","0","Inf","Hrs","0.1700000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-west-1","AWS Directory Service"
|
| 160 |
"Q8A9QJZFFFBE5KVS","JRTCKXETXF","Q8A9QJZFFFBE5KVS.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0207 per hour per account to which a Microsoft AD (Standard) directory is shared in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0207000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-central-1","AWS Directory Service"
|
|
|
|
|
|
|
| 161 |
"Q9ED4NWKYTF4MR9A","JRTCKXETXF","Q9ED4NWKYTF4MR9A.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1875 per hour for Large AD Connector per directory usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.1875000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-3","AWS Directory Service"
|
| 162 |
"QHQQRZ3KUWCYYGJ4","JRTCKXETXF","QHQQRZ3KUWCYYGJ4.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2060 per hour for Microsoft AD (Enterprise) per domain controller usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.2060000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-north-1","AWS Directory Service"
|
| 163 |
"QS9R5KG72UTDGHNW","JRTCKXETXF","QS9R5KG72UTDGHNW.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2300 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.2300000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-3","AWS Directory Service"
|
|
@@ -171,10 +209,15 @@
|
|
| 171 |
"RPMGGW2ZTPNTEZJF","JRTCKXETXF","RPMGGW2ZTPNTEZJF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0620 per hour for Microsoft AD (Standard) per domain controller usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0620000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-north-1","AWS Directory Service"
|
| 172 |
"RZBR6X3VKQN4CUTK","JRTCKXETXF","RZBR6X3VKQN4CUTK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large AD Connector directory in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-1","AWS Directory Service"
|
| 173 |
"S34NF6YEZSY2387S","JRTCKXETXF","S34NF6YEZSY2387S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1594 per hour for AD Connector (Large) per directory usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.1594000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-5","AWS Directory Service"
|
|
|
|
| 174 |
"SEVF7973NR8WBQAW","JRTCKXETXF","SEVF7973NR8WBQAW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2 per hour for a Microsoft AD directory controller in the US East (Ohio) region","2025-07-01","0","Inf","Hrs","0.2000000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-east-2","AWS Directory Service"
|
|
|
|
| 175 |
"TD7DAPXUG3DFH6Z9","JRTCKXETXF","TD7DAPXUG3DFH6Z9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0567 per hour for Small AD Connector per directory usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0567000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-west-3","AWS Directory Service"
|
|
|
|
|
|
|
| 176 |
"TRZVMUEQC26QP5RW","JRTCKXETXF","TRZVMUEQC26QP5RW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large AD Connector directory in the South America (Sao Paulo) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"sa-east-1","AWS Directory Service"
|
| 177 |
"TUNZJ2ZWK3657AEP","JRTCKXETXF","TUNZJ2ZWK3657AEP.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0710 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0710000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-3","AWS Directory Service"
|
|
|
|
| 178 |
"UA4VF9C9YZMFMAFU","JRTCKXETXF","UA4VF9C9YZMFMAFU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0618 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0618000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-5","AWS Directory Service"
|
| 179 |
"UVHNF2MJFQ33WD3P","JRTCKXETXF","UVHNF2MJFQ33WD3P.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0180 per hour per account to which a Microsoft AD (Standard) directory is shared in US East (N. Virginia)","2025-07-01","0","Inf","Hrs","0.0180000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory","Hrs","us-east-1","AWS Directory Service"
|
| 180 |
"UYBDD8USYY5GYHP9","JRTCKXETXF","UYBDD8USYY5GYHP9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0702 per hour for Small AD Connector per directory usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0702000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-east-1","AWS Directory Service"
|
|
@@ -182,12 +225,14 @@
|
|
| 182 |
"V86VBYCNRTDR4KDX","JRTCKXETXF","V86VBYCNRTDR4KDX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0548 per hour for Small AD Connector per directory usage in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0548000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-south-2","AWS Directory Service"
|
| 183 |
"V9U4XSS5UUTSTGJT","JRTCKXETXF","V9U4XSS5UUTSTGJT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-7","AWS Directory Service"
|
| 184 |
"V9U9VSKE7M4Q7XRF","JRTCKXETXF","V9U9VSKE7M4Q7XRF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0945 per hour for Microsoft AD (Standard) per domain controller usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.0945000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-gov-east-1","AWS Directory Service"
|
|
|
|
| 185 |
"VFV5Z98N9SBRGFHM","JRTCKXETXF","VFV5Z98N9SBRGFHM.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2170 per hour for Microsoft AD (Enterprise) per domain controller usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.2170000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-3","AWS Directory Service"
|
| 186 |
"VWK7F93RYHH8QP7N","JRTCKXETXF","VWK7F93RYHH8QP7N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.064 per hour for Microsoft AD (Standard Edition) domain controllers in the Canada (Central) region","2025-07-01","0","Inf","Hrs","0.0640000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-central-1","AWS Directory Service"
|
| 187 |
"VX2AGBSUSZ5XB6HE","JRTCKXETXF","VX2AGBSUSZ5XB6HE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a Microsoft AD directory controller in the Asia Pacific (Sydney) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-2","AWS Directory Service"
|
| 188 |
"VY6ADRAGPH67QG95","JRTCKXETXF","VY6ADRAGPH67QG95.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1672 per hour for Large AD Connector per directory usage in Canada West (Calgary)","2025-07-01","0","Inf","Hrs","0.1672000000","USD","AWS Directory Service","AWSDirectoryService","Canada West (Calgary)","AWS Region","CAN2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ca-west-1","AWS Directory Service"
|
| 189 |
"W9JNHYVKZQUZRF65","JRTCKXETXF","W9JNHYVKZQUZRF65.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1755 per hour for Large AD Connector per directory usage in US West (N. California)","2025-07-01","0","Inf","Hrs","0.1755000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-west-1","AWS Directory Service"
|
| 190 |
"WD4KBR3CBSE743FQ","JRTCKXETXF","WD4KBR3CBSE743FQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0201 per hour per account to which a Microsoft AD (Standard) directory is shared in EU (Frankfurt)","2025-07-01","0","Inf","Hrs","0.0201000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-central-1","AWS Directory Service"
|
|
|
|
| 191 |
"WNBXMMC6457CYKUG","JRTCKXETXF","WNBXMMC6457CYKUG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0730 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0730000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-3","AWS Directory Service"
|
| 192 |
"WPEXCWDFR37P8NB4","JRTCKXETXF","WPEXCWDFR37P8NB4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2060 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.2060000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-7","AWS Directory Service"
|
| 193 |
"WQSP4RP96MVGG9WQ","JRTCKXETXF","WQSP4RP96MVGG9WQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0660 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0660000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-5","AWS Directory Service"
|
|
@@ -196,22 +241,31 @@
|
|
| 196 |
"WVFP48TCBUM357WB","JRTCKXETXF","WVFP48TCBUM357WB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.060 per hour for Microsoft AD (Standard Edition) domain controllers in the US East (Ohio) region","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-east-2","AWS Directory Service"
|
| 197 |
"WYSW4ZC7DENZTC6R","JRTCKXETXF","WYSW4ZC7DENZTC6R.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0678 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0678000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-3","AWS Directory Service"
|
| 198 |
"X7CZJTNZRH7DVYUU","JRTCKXETXF","X7CZJTNZRH7DVYUU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.06 per hour for a small directory in the EU (London) region","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","EU (London)","AWS Region","EUW2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-west-2","AWS Directory Service"
|
|
|
|
| 199 |
"XS393M3AZPZZFKGV","JRTCKXETXF","XS393M3AZPZZFKGV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.208 per hour for a Microsoft AD directory controller in the Canada (Central) region","2025-07-01","0","Inf","Hrs","0.2080000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-central-1","AWS Directory Service"
|
| 200 |
"XVAW8UDGUKTK53TU","JRTCKXETXF","XVAW8UDGUKTK53TU.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0213 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0213000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-3","AWS Directory Service"
|
| 201 |
"XVQBRVU739PWRCZZ","JRTCKXETXF","XVQBRVU739PWRCZZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1900 per hour for Large AD Connector per directory usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.1900000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-gov-east-1","AWS Directory Service"
|
|
|
|
|
|
|
| 202 |
"Y37AF8B9KPK4U7H9","JRTCKXETXF","Y37AF8B9KPK4U7H9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.05 per hour for a small directory in the US East (Northern Virginia) region","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"us-east-1","AWS Directory Service"
|
| 203 |
"Y38T5AYDTUTPYFTX","JRTCKXETXF","Y38T5AYDTUTPYFTX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1900 per hour for Large AD Connector per directory usage in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.1900000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-gov-west-1","AWS Directory Service"
|
| 204 |
"YANNMA8TVZGPH67N","JRTCKXETXF","YANNMA8TVZGPH67N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.086 per hour for Microsoft AD (Standard Edition) domain controllers in the South America (Sao Paulo) region","2025-07-01","0","Inf","Hrs","0.0860000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"sa-east-1","AWS Directory Service"
|
|
|
|
| 205 |
"YCMP98T3HDZATTDX","JRTCKXETXF","YCMP98T3HDZATTDX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.09 per hour for a small directory in the South America (Sao Paulo) region","2025-07-01","0","Inf","Hrs","0.0900000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"sa-east-1","AWS Directory Service"
|
| 206 |
"YCY45AJCYA6GUDM4","JRTCKXETXF","YCY45AJCYA6GUDM4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0630 per hour for Microsoft AD (Standard) per domain controller usage in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.0630000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"mx-central-1","AWS Directory Service"
|
| 207 |
"YDCWSZZMRQVNB62W","JRTCKXETXF","YDCWSZZMRQVNB62W.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0690 per hour for Microsoft AD (Standard) per domain controller usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-south-1","AWS Directory Service"
|
| 208 |
"YFSZRK325594SZ9N","JRTCKXETXF","YFSZRK325594SZ9N.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0603 per hour for Small AD Connector per directory usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0603000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"me-central-1","AWS Directory Service"
|
| 209 |
"YJVMTZTZDNUQV7A7","JRTCKXETXF","YJVMTZTZDNUQV7A7.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0651 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Israel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.0651000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"il-central-1","AWS Directory Service"
|
|
|
|
| 210 |
"YMYQTQZJGZNANHG2","JRTCKXETXF","YMYQTQZJGZNANHG2.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0636 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Canada West (Calgary)","2025-07-01","0","Inf","Hrs","0.0636000000","USD","AWS Directory Service","AWSDirectoryService","Canada West (Calgary)","AWS Region","CAN2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ca-west-1","AWS Directory Service"
|
| 211 |
"YNZ4HR6YWRKQASX2","JRTCKXETXF","YNZ4HR6YWRKQASX2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.06 per hour for a small directory in the EU (Frankfurt) region","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-central-1","AWS Directory Service"
|
| 212 |
"YU99SHSPXHKHVKXK","JRTCKXETXF","YU99SHSPXHKHVKXK.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0538 per hour for Small AD Connector per directory usage in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.0538000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-south-2","AWS Directory Service"
|
| 213 |
"YUY4RVX5CQYHQUUT","JRTCKXETXF","YUY4RVX5CQYHQUUT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1844 per Hour for Large AD Connector per directory usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.1844000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"me-central-1","AWS Directory Service"
|
| 214 |
"YXP83NRMSRH24DWJ","JRTCKXETXF","YXP83NRMSRH24DWJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0770 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0770000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-east-1","AWS Directory Service"
|
|
|
|
|
|
|
|
|
|
| 215 |
"Z78ZKNWCHWAJUDK8","JRTCKXETXF","Z78ZKNWCHWAJUDK8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour per account to which a Microsoft AD (Enterprise) directory is shared in US West (Oregon)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-2","AWS Directory Service"
|
|
|
|
| 216 |
"ZNTM9NSZVQ4ASZD3","JRTCKXETXF","ZNTM9NSZVQ4ASZD3.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0666 per hour per account to which a Microsoft AD (Enterprise) directory is shared in EU (Frankfurt)","2025-07-01","0","Inf","Hrs","0.0666000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-central-1","AWS Directory Service"
|
| 217 |
"ZVV7VUEZ9N3FTU6V","JRTCKXETXF","ZVV7VUEZ9N3FTU6V.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1500 per hour for Large AD Connector per directory usage in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.1500000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-east-2","AWS Directory Service"
|
|
|
|
| 2 |
"266KXNAEYCECP8Y5","JRTCKXETXF","266KXNAEYCECP8Y5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0189 per hour per account to which a Microsoft AD (Standard) directory is shared in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.0189000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"mx-central-1","AWS Directory Service"
|
| 3 |
"26RBPQKCSWGTSPH3","JRTCKXETXF","26RBPQKCSWGTSPH3.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0690 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-3","AWS Directory Service"
|
| 4 |
"27TM2ZFY84XK3DU7","JRTCKXETXF","27TM2ZFY84XK3DU7.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0672 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0672000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-1","AWS Directory Service"
|
| 5 |
+
"27V3HSNUQCSABKJ8","JRTCKXETXF","27V3HSNUQCSABKJ8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0627 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0627000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-2","AWS Directory Service"
|
| 6 |
"28A83X5SWYP85FN8","JRTCKXETXF","28A83X5SWYP85FN8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0550 per hour for Simple AD (Small) in EU (Ireland)","2025-07-01","0","Inf","Hrs","0.0550000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"eu-west-1","AWS Directory Service"
|
| 7 |
"29ABUT9US764YV8H","JRTCKXETXF","29ABUT9US764YV8H.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1750 per hour for Large AD Connector per directory usage in Isarel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.1750000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"il-central-1","AWS Directory Service"
|
| 8 |
+
"2DX6UGTAS6ZZG9JR","JRTCKXETXF","2DX6UGTAS6ZZG9JR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3530 per hour for Microsoft AD (Hybrid) per domain controller usage in EU (Milan)","2025-07-01","0","Inf","Hrs","0.3530000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-south-1","AWS Directory Service"
|
| 9 |
"2EFTUBE5NEM4EJJQ","JRTCKXETXF","2EFTUBE5NEM4EJJQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0210 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0210000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-1","AWS Directory Service"
|
| 10 |
"2GPM5KZ3WMTJUMBT","JRTCKXETXF","2GPM5KZ3WMTJUMBT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0192 per hour per account to which a Microsoft AD (Standard) directory is shared in Canada (Central)","2025-07-01","0","Inf","Hrs","0.0192000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ca-central-1","AWS Directory Service"
|
| 11 |
"2KPUDHTVNKEN998N","JRTCKXETXF","2KPUDHTVNKEN998N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.209 per hour for a Microsoft AD directory controller in the Asia Pacific (Seoul) region","2025-07-01","0","Inf","Hrs","0.2090000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-2","AWS Directory Service"
|
| 12 |
+
"2SAFVFY8RA2KK6A2","JRTCKXETXF","2SAFVFY8RA2KK6A2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0783 per hour per account to which a Microsoft AD (Hybrid) directory is shared in South America (Sao Paulo)","2025-07-01","0","Inf","Hrs","0.0783000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"sa-east-1","AWS Directory Service"
|
| 13 |
"2V26AT9UE8CZHET5","JRTCKXETXF","2V26AT9UE8CZHET5.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0669 per Hour per account to which a Microsoft AD (Enterprise) directory is shared in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0669000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-central-1","AWS Directory Service"
|
| 14 |
"327BQ9R9TJSGC37T","JRTCKXETXF","327BQ9R9TJSGC37T.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0615 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.0615000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-2","AWS Directory Service"
|
| 15 |
"37GAQ9HRJD6PPXC9","JRTCKXETXF","37GAQ9HRJD6PPXC9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.06675 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0667500000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-1","AWS Directory Service"
|
| 16 |
+
"37WBNW8ZW8STRJJZ","JRTCKXETXF","37WBNW8ZW8STRJJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0699 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.0699000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-central-2","AWS Directory Service"
|
| 17 |
+
"398M7QKUK6PXY8WM","JRTCKXETXF","398M7QKUK6PXY8WM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3670 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.3670000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-1","AWS Directory Service"
|
| 18 |
+
"39D9N774S9Z44ND5","JRTCKXETXF","39D9N774S9Z44ND5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0744 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0744000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-1","AWS Directory Service"
|
| 19 |
"39EEEKZNR4ZBXW7W","JRTCKXETXF","39EEEKZNR4ZBXW7W.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0710 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.0710000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-4","AWS Directory Service"
|
| 20 |
"3F66VRDQUY6DTNQB","JRTCKXETXF","3F66VRDQUY6DTNQB.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour for Small AD Connector per directory usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-gov-east-1","AWS Directory Service"
|
| 21 |
"3KSWFBFXWU87KRUW","JRTCKXETXF","3KSWFBFXWU87KRUW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.071 per hour for Microsoft AD (Standard Edition) domain controllers in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.0710000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-1","AWS Directory Service"
|
|
|
|
| 32 |
"4TVRKP7UJDQBTSDY","JRTCKXETXF","4TVRKP7UJDQBTSDY.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0557 per hour for Small AD Connector per directory usage in Canada (Central)","2025-07-01","0","Inf","Hrs","0.0557000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ca-central-1","AWS Directory Service"
|
| 33 |
"4W5JAX5WMSE7XGE9","JRTCKXETXF","4W5JAX5WMSE7XGE9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-3","AWS Directory Service"
|
| 34 |
"4WKR9K44PMDVH6RN","JRTCKXETXF","4WKR9K44PMDVH6RN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2 per hour for a Microsoft AD directory controller in the US West (Oregon) region","2025-07-01","0","Inf","Hrs","0.2000000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-2","AWS Directory Service"
|
| 35 |
+
"5HGQ643YFZ5R5VP4","JRTCKXETXF","5HGQ643YFZ5R5VP4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0615 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.0615000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-2","AWS Directory Service"
|
| 36 |
"5R8AY8VDTDE9FMUG","JRTCKXETXF","5R8AY8VDTDE9FMUG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0744 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0744000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-1","AWS Directory Service"
|
| 37 |
+
"5RWYG27QNGY4HKV3","JRTCKXETXF","5RWYG27QNGY4HKV3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3440 per hour for Microsoft AD (Hybrid) per domain controller usage in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.3440000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-south-2","AWS Directory Service"
|
| 38 |
"5WMVXFWSSMWD7SQV","JRTCKXETXF","5WMVXFWSSMWD7SQV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.218 per hour for a Microsoft AD directory controller in the US West (N. California) region","2025-07-01","0","Inf","Hrs","0.2180000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-1","AWS Directory Service"
|
| 39 |
+
"63ABZG8ZRQ86PFN3","JRTCKXETXF","63ABZG8ZRQ86PFN3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3670 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.3670000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-3","AWS Directory Service"
|
| 40 |
"64V88PNCE6U9DHWN","JRTCKXETXF","64V88PNCE6U9DHWN.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0635 per hour for Small AD Connector per directory usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.0635000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-4","AWS Directory Service"
|
| 41 |
"67HRPZVYASRJHTWZ","JRTCKXETXF","67HRPZVYASRJHTWZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0500 per hour for Simple AD (Small) in US East (N. Virginia)","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"us-east-1","AWS Directory Service"
|
| 42 |
+
"6992UBJRAFEZRB73","JRTCKXETXF","6992UBJRAFEZRB73.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3630 per hour for Microsoft AD (Hybrid) per domain controller usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.3630000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-south-1","AWS Directory Service"
|
| 43 |
"6BK744QZNMJ7EU4Q","JRTCKXETXF","6BK744QZNMJ7EU4Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.05 per hour for a small directory in the US West (Oregon) region","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"us-west-2","AWS Directory Service"
|
| 44 |
"6RFV6P5VX33GTF4R","JRTCKXETXF","6RFV6P5VX33GTF4R.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0720 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hrs","0.0720000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-2","AWS Directory Service"
|
| 45 |
"6S3TE2N3XCWSKCQT","JRTCKXETXF","6S3TE2N3XCWSKCQT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1984 per hour for Large AD Connector per directory usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.1984000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-central-2","AWS Directory Service"
|
|
|
|
| 51 |
"7CWB826W9Y66QHC8","JRTCKXETXF","7CWB826W9Y66QHC8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0654 per hour for Small AD Connector per directory usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0654000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-northeast-3","AWS Directory Service"
|
| 52 |
"7KJSDUYZF78JTXPF","JRTCKXETXF","7KJSDUYZF78JTXPF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2788 per hour for Microsoft AD (Enterprise) per domain controller usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.2788000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-gov-east-1","AWS Directory Service"
|
| 53 |
"7NGFSEHNBN627XK2","JRTCKXETXF","7NGFSEHNBN627XK2.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0210 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0210000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-2","AWS Directory Service"
|
| 54 |
+
"7UNSVNKUWMVF8P9A","JRTCKXETXF","7UNSVNKUWMVF8P9A.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0600 per hour per account to which a Microsoft AD (Hybrid) directory is shared in EU (Ireland)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-1","AWS Directory Service"
|
| 55 |
"7WAUVV7WDKB2H6EH","JRTCKXETXF","7WAUVV7WDKB2H6EH.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0635 per hour for Small AD Connector per directory usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.0635000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-central-2","AWS Directory Service"
|
| 56 |
+
"7Y8UVM4XZJZ2T8Z2","JRTCKXETXF","7Y8UVM4XZJZ2T8Z2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0624 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Canada (Central)","2025-07-01","0","Inf","Hrs","0.0624000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ca-central-1","AWS Directory Service"
|
| 57 |
"863VKGHQHTRSWTMQ","JRTCKXETXF","863VKGHQHTRSWTMQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0572 per hour for AD Connector (Small) per directory usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0572000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-5","AWS Directory Service"
|
| 58 |
+
"87EFGMFFZ37USZWS","JRTCKXETXF","87EFGMFFZ37USZWS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3250 per hour for Microsoft AD (Hybrid) per domain controller usage in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.3250000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-east-2","AWS Directory Service"
|
| 59 |
"8GBEXR8ZAZYF7KM8","JRTCKXETXF","8GBEXR8ZAZYF7KM8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0945 per hour for Microsoft AD (Standard) per domain controller usage in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0945000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-gov-west-1","AWS Directory Service"
|
| 60 |
"8JGSBRMZH773RTT3","JRTCKXETXF","8JGSBRMZH773RTT3.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0650 per hour for Microsoft AD (Standard) per domain controller usage in Canada West (Calgary)","2025-07-01","0","Inf","Hrs","0.0650000000","USD","AWS Directory Service","AWSDirectoryService","Canada West (Calgary)","AWS Region","CAN2-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-west-1","AWS Directory Service"
|
| 61 |
"8YK528KDXD3YDZZ4","JRTCKXETXF","8YK528KDXD3YDZZ4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0525 per hour for AD Connector (Small) per directory usage in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.0525000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"mx-central-1","AWS Directory Service"
|
| 62 |
"94JBT4QKZC2HFEVA","JRTCKXETXF","94JBT4QKZC2HFEVA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.063 per hour for Microsoft AD (Standard Edition) domain controllers in the EU (Ireland) region","2025-07-01","0","Inf","Hrs","0.0630000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-1","AWS Directory Service"
|
| 63 |
"94UHRFT2UMY2UNGN","JRTCKXETXF","94UHRFT2UMY2UNGN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per hour for a large AD Connector directory in the EU (Frankfurt) region","2025-07-01","0","Inf","Hrs","0.1800000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-central-1","AWS Directory Service"
|
| 64 |
+
"97X73T98TBASNYQM","JRTCKXETXF","97X73T98TBASNYQM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3670 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hrs","0.3670000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-2","AWS Directory Service"
|
| 65 |
+
"9B3HPJ2YW5RQ2WET","JRTCKXETXF","9B3HPJ2YW5RQ2WET.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0600 per hour per account to which a Microsoft AD (Hybrid) directory is shared in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-east-2","AWS Directory Service"
|
| 66 |
"9DBBF9RAC3FD3Q5J","JRTCKXETXF","9DBBF9RAC3FD3Q5J.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2120 per hour for Microsoft AD (Enterprise) per domain controller usage in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.2120000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-south-2","AWS Directory Service"
|
| 67 |
"9E8UW6YY8YDBCQAF","JRTCKXETXF","9E8UW6YY8YDBCQAF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.07 per hour for Microsoft AD (Standard Edition) domain controllers in the Asia Pacific (Mumbai) region","2025-07-01","0","Inf","Hrs","0.0700000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-south-1","AWS Directory Service"
|
| 68 |
"9G9DCR3ZURCQMSRU","JRTCKXETXF","9G9DCR3ZURCQMSRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.248 per hour for a Microsoft AD directory controller in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.2480000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-1","AWS Directory Service"
|
|
|
|
| 76 |
"9V7B9984QE7WPEPU","JRTCKXETXF","9V7B9984QE7WPEPU.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2050 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.2050000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-south-2","AWS Directory Service"
|
| 77 |
"A5X3SUCMZG8FV9VE","JRTCKXETXF","A5X3SUCMZG8FV9VE.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1665 per hour for Large AD Connector per directory usage in Canada (Central)","2025-07-01","0","Inf","Hrs","0.1665000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ca-central-1","AWS Directory Service"
|
| 78 |
"ABHBD8YQ9NQD5R4T","JRTCKXETXF","ABHBD8YQ9NQD5R4T.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0603 per hour for Small AD Connector per directory usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0603000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"me-south-1","AWS Directory Service"
|
| 79 |
+
"ABY4E7NUD3FP32V9","JRTCKXETXF","ABY4E7NUD3FP32V9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3250 per hour for Microsoft AD (Hybrid) per domain controller usage in US West (Oregon)","2025-07-01","0","Inf","Hrs","0.3250000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-2","AWS Directory Service"
|
| 80 |
"AC68YU3EVCUHHMQF","JRTCKXETXF","AC68YU3EVCUHHMQF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0636 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0636000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-2","AWS Directory Service"
|
| 81 |
"ARU65RUZPY4AFJJG","JRTCKXETXF","ARU65RUZPY4AFJJG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0669 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0669000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-south-1","AWS Directory Service"
|
| 82 |
"ATWEW3Y4AG3FR4FM","JRTCKXETXF","ATWEW3Y4AG3FR4FM.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0577 per hour for Small AD Connector per directory usage in Europe (Milan)","2025-07-01","0","Inf","Hrs","0.0577000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-south-1","AWS Directory Service"
|
|
|
|
| 89 |
"BNKT2ED8B2QHDX2Z","JRTCKXETXF","BNKT2ED8B2QHDX2Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0626 per hour for Small AD Connector per directory usage in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0626000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-northeast-2","AWS Directory Service"
|
| 90 |
"BRCEA988QT9G6GKG","JRTCKXETXF","BRCEA988QT9G6GKG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1875 per hour for Large AD Connector per directory usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.1875000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-4","AWS Directory Service"
|
| 91 |
"BWJCVFEBGC3QR3UW","JRTCKXETXF","BWJCVFEBGC3QR3UW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.068 per hour for Microsoft AD (Standard Edition) domain controllers in the US West (N. California) region","2025-07-01","0","Inf","Hrs","0.0680000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-1","AWS Directory Service"
|
| 92 |
+
"C3YE4CWPX72YXU8P","JRTCKXETXF","C3YE4CWPX72YXU8P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3590 per hour for Microsoft AD (Hybrid) per domain controller usage in EU (Frankfurt)","2025-07-01","0","Inf","Hrs","0.3590000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-central-1","AWS Directory Service"
|
| 93 |
"C5U5TSGDBQXXGHXN","JRTCKXETXF","C5U5TSGDBQXXGHXN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1594 per hour for AD Connector (Large) per directory usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.1594000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-7","AWS Directory Service"
|
| 94 |
"C79CVVQR9BZZUVQX","JRTCKXETXF","C79CVVQR9BZZUVQX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0192 per hour per account to which a Microsoft AD (Standard) directory is shared in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0192000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-2","AWS Directory Service"
|
| 95 |
"C9HZUYN8BC5XCPYV","JRTCKXETXF","C9HZUYN8BC5XCPYV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.17 per hour for a large Simple AD directory in the EU (Ireland) region","2025-07-01","0","Inf","Hrs","0.1700000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Large-SimpleAD-Usage","Hourly","Large","Simple AD","Simple AD",,"eu-west-1","AWS Directory Service"
|
| 96 |
+
"CB2X4T5QFG97SCU5","JRTCKXETXF","CB2X4T5QFG97SCU5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0669 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0669000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-south-1","AWS Directory Service"
|
| 97 |
"CCTPQS7WSJU8HKGD","JRTCKXETXF","CCTPQS7WSJU8HKGD.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large AD Connector directory in the Asia Pacific (Tokyo) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-northeast-1","AWS Directory Service"
|
| 98 |
+
"CE656Q5JC7BD7M23","JRTCKXETXF","CE656Q5JC7BD7M23.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3750 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.3750000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-1","AWS Directory Service"
|
| 99 |
"CGVU2V85B5RXEYHP","JRTCKXETXF","CGVU2V85B5RXEYHP.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0836 per hour per account to which a Microsoft AD (Enterprise) directory is shared in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0836000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-gov-west-1","AWS Directory Service"
|
| 100 |
"CJX6U23YBZ6VUUYU","JRTCKXETXF","CJX6U23YBZ6VUUYU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.08 per hour for a small directory in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"ap-southeast-1","AWS Directory Service"
|
| 101 |
+
"CZN6AGXC2YWA66WN","JRTCKXETXF","CZN6AGXC2YWA66WN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0600 per hour per account to which a Microsoft AD (Hybrid) directory is shared in US West (Oregon)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-2","AWS Directory Service"
|
| 102 |
"D428NVHT5XP7EW6D","JRTCKXETXF","D428NVHT5XP7EW6D.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0654 per hour per account to which a Microsoft AD (Enterprise) directory is shared in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0654000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-1","AWS Directory Service"
|
| 103 |
"D883FE2FSAGPMR29","JRTCKXETXF","D883FE2FSAGPMR29.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0577 per hour for Small AD Connector per directory usage in Israel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.0577000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"il-central-1","AWS Directory Service"
|
| 104 |
"DGCCUNGPRBFZPV5Y","JRTCKXETXF","DGCCUNGPRBFZPV5Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour per account to which a Microsoft AD (Enterprise) directory is shared in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-east-2","AWS Directory Service"
|
|
|
|
| 107 |
"DWWY7QR4Z36RGQ7Z","JRTCKXETXF","DWWY7QR4Z36RGQ7Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0258 per hour per account to which a Microsoft AD (Standard) directory is shared in South America (Sao Paulo)","2025-07-01","0","Inf","Hrs","0.0258000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"sa-east-1","AWS Directory Service"
|
| 108 |
"DYTHE2T27DBGSH26","JRTCKXETXF","DYTHE2T27DBGSH26.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1750 per hour for Large AD Connector per directory usage in Europe (Milan)","2025-07-01","0","Inf","Hrs","0.1750000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-south-1","AWS Directory Service"
|
| 109 |
"E2892QJ7CNXAX7DA","JRTCKXETXF","E2892QJ7CNXAX7DA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.222 per hour for a Microsoft AD directory controller in the EU (Frankfurt) region","2025-07-01","0","Inf","Hrs","0.2220000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-central-1","AWS Directory Service"
|
| 110 |
+
"E3U2BJZRMDXAMPBD","JRTCKXETXF","E3U2BJZRMDXAMPBD.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3790 per hour for Microsoft AD (Hybrid) per domain controller usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.3790000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-central-2","AWS Directory Service"
|
| 111 |
"E4PKFHV3XTN5QHAK","JRTCKXETXF","E4PKFHV3XTN5QHAK.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0519 per hour for Small AD Connector per directory usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0519000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-north-1","AWS Directory Service"
|
| 112 |
"E593AC26ES2MBYRU","JRTCKXETXF","E593AC26ES2MBYRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large Simple AD directory in the Asia Pacific (Sydney) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Large-SimpleAD-Usage","Hourly","Large","Simple AD","Simple AD",,"ap-southeast-2","AWS Directory Service"
|
| 113 |
+
"E7ZQMG2R9S8D5CRU","JRTCKXETXF","E7ZQMG2R9S8D5CRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3340 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.3340000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-south-1","AWS Directory Service"
|
| 114 |
+
"E8T3X4F28F5WRXTZ","JRTCKXETXF","E8T3X4F28F5WRXTZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0699 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Africa (Cape Town)","2025-07-01","0","Inf","Hrs","0.0699000000","USD","AWS Directory Service","AWSDirectoryService","Africa (Cape Town)","AWS Region","AFS1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"af-south-1","AWS Directory Service"
|
| 115 |
+
"EBE4T7F32KJXMGRT","JRTCKXETXF","EBE4T7F32KJXMGRT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0669 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0669000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-central-1","AWS Directory Service"
|
| 116 |
"EBUNSFHMRQDS9ECD","JRTCKXETXF","EBUNSFHMRQDS9ECD.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour for Small AD Connector per directory usage in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-gov-west-1","AWS Directory Service"
|
| 117 |
"EH2XQMCSKXAKSHFR","JRTCKXETXF","EH2XQMCSKXAKSHFR.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0783 per hour per account to which a Microsoft AD (Enterprise) directory is shared in South America (Sao Paulo)","2025-07-01","0","Inf","Hrs","0.0783000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"sa-east-1","AWS Directory Service"
|
| 118 |
+
"EQSB6NNYHHST6PNN","JRTCKXETXF","EQSB6NNYHHST6PNN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0651 per hour per account to which a Microsoft AD (Hybrid) directory is shared in EU (Milan)","2025-07-01","0","Inf","Hrs","0.0651000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-1","AWS Directory Service"
|
| 119 |
+
"ESASGN64W4B9TEQM","JRTCKXETXF","ESASGN64W4B9TEQM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3730 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.3730000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-3","AWS Directory Service"
|
| 120 |
"EWQ7VWMDWQJZ7UDC","JRTCKXETXF","EWQ7VWMDWQJZ7UDC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2100 per hour for Microsoft AD (Enterprise) per domain controller usage in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.2100000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"mx-central-1","AWS Directory Service"
|
| 121 |
"EWZGZAUH9MGYW22Q","JRTCKXETXF","EWZGZAUH9MGYW22Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0660 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0660000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-7","AWS Directory Service"
|
| 122 |
+
"EYAEZSXDDM7PJ8S8","JRTCKXETXF","EYAEZSXDDM7PJ8S8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0642 per hour per account to which a Microsoft AD (Hybrid) directory is shared in EU (London)","2025-07-01","0","Inf","Hrs","0.0642000000","USD","AWS Directory Service","AWSDirectoryService","EU (London)","AWS Region","EUW2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-2","AWS Directory Service"
|
| 123 |
"F3YG3KWNDQR3FTXZ","JRTCKXETXF","F3YG3KWNDQR3FTXZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0800 per hour for Simple AD (Small) in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"ap-northeast-1","AWS Directory Service"
|
| 124 |
"F82NAAST5RYMCH4E","JRTCKXETXF","F82NAAST5RYMCH4E.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0213 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0213000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-1","AWS Directory Service"
|
| 125 |
+
"FAJJNSWXBMGN4U34","JRTCKXETXF","FAJJNSWXBMGN4U34.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0714 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0714000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-east-1","AWS Directory Service"
|
| 126 |
"FG2VHSPRCC92U83Q","JRTCKXETXF","FG2VHSPRCC92U83Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0660 per hour for Microsoft AD (Standard) per domain controller usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0660000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-3","AWS Directory Service"
|
| 127 |
"FJCNG2QRJ67E2959","JRTCKXETXF","FJCNG2QRJ67E2959.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.08 per hour for a small directory in the Asia Pacific (Tokyo) region","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"ap-northeast-1","AWS Directory Service"
|
| 128 |
"FJTBMSRTRDSR64HS","JRTCKXETXF","FJTBMSRTRDSR64HS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-5","AWS Directory Service"
|
|
|
|
| 132 |
"FXZ6F6YVX632TJRT","JRTCKXETXF","FXZ6F6YVX632TJRT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1594 per hour for Large AD Connector per directory usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.1594000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-north-1","AWS Directory Service"
|
| 133 |
"G3QTVGTK98FM4X9Q","JRTCKXETXF","G3QTVGTK98FM4X9Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0219 per hour per account to which a Microsoft AD (Standard) directory is shared in Africa (Cape Town)","2025-07-01","0","Inf","Hrs","0.0219000000","USD","AWS Directory Service","AWSDirectoryService","Africa (Cape Town)","AWS Region","AFS1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"af-south-1","AWS Directory Service"
|
| 134 |
"G7HUKZWZ2MWNZTWN","JRTCKXETXF","G7HUKZWZ2MWNZTWN.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0219 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0219000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-1","AWS Directory Service"
|
| 135 |
+
"G8X8M4FPFC6YZ2JW","JRTCKXETXF","G8X8M4FPFC6YZ2JW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3530 per hour for Microsoft AD (Hybrid) per domain controller usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.3530000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-3","AWS Directory Service"
|
| 136 |
"GHMB7QWSPNVXYNR4","JRTCKXETXF","GHMB7QWSPNVXYNR4.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0231 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0231000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-east-1","AWS Directory Service"
|
| 137 |
"GMNC25S8G72Z3FPB","JRTCKXETXF","GMNC25S8G72Z3FPB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0800 per hour for Simple AD (Small) in Asia Pacific (Singapore)","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"ap-southeast-1","AWS Directory Service"
|
| 138 |
"GQMUM5UCKKAH49DT","JRTCKXETXF","GQMUM5UCKKAH49DT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0572 per hour for AD Connector (Small) per directory usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0572000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-7","AWS Directory Service"
|
| 139 |
+
"GSEAB9YWNZNDP667","JRTCKXETXF","GSEAB9YWNZNDP667.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3790 per hour for Microsoft AD (Hybrid) per domain controller usage in Africa (Cape Town)","2025-07-01","0","Inf","Hrs","0.3790000000","USD","AWS Directory Service","AWSDirectoryService","Africa (Cape Town)","AWS Region","AFS1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"af-south-1","AWS Directory Service"
|
| 140 |
"GWEUXXV65W3856JC","JRTCKXETXF","GWEUXXV65W3856JC.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0627 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.0627000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-2","AWS Directory Service"
|
| 141 |
"GXM6BQ3ZWAVFNB4R","JRTCKXETXF","GXM6BQ3ZWAVFNB4R.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1984 per hour for Large AD Connector per directory usage in Africa (Cape Town)","2025-07-01","0","Inf","Hrs","0.1984000000","USD","AWS Directory Service","AWSDirectoryService","Africa (Cape Town)","AWS Region","AFS1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"af-south-1","AWS Directory Service"
|
| 142 |
"H8DJEPPG8SJM294F","JRTCKXETXF","H8DJEPPG8SJM294F.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2063 per hour for Large AD Connector per directory usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.2063000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-east-1","AWS Directory Service"
|
|
|
|
| 148 |
"HSJCFFQ54EMK2XEQ","JRTCKXETXF","HSJCFFQ54EMK2XEQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0800 per hour for Simple AD (Small) in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Small-SimpleAD-Usage","Hourly","Small","Simple AD","Simple AD",,"ap-southeast-2","AWS Directory Service"
|
| 149 |
"HSVXA75X4FP3X972","JRTCKXETXF","HSVXA75X4FP3X972.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0186 per hour per account to which a Microsoft AD (Standard) directory is shared in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0186000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-north-1","AWS Directory Service"
|
| 150 |
"HWMMQ7RBPN6WD2FV","JRTCKXETXF","HWMMQ7RBPN6WD2FV.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1937 per hour for Large AD Connector per directory usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.1937000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-northeast-3","AWS Directory Service"
|
| 151 |
+
"J25ZN8MXXAHJQXQA","JRTCKXETXF","J25ZN8MXXAHJQXQA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3520 per hour for Microsoft AD (Hybrid) per domain controller usage in EU (London)","2025-07-01","0","Inf","Hrs","0.3520000000","USD","AWS Directory Service","AWSDirectoryService","EU (London)","AWS Region","EUW2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-2","AWS Directory Service"
|
| 152 |
"J7NVJGTFHRTUN8BP","JRTCKXETXF","J7NVJGTFHRTUN8BP.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour for Small AD Connector per directory usage in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-west-1","AWS Directory Service"
|
| 153 |
"JDC249WB876AFK6G","JRTCKXETXF","JDC249WB876AFK6G.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0635 per hour for Small AD Connector per directory usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0635000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-southeast-3","AWS Directory Service"
|
| 154 |
"JFD37BXM2MUGDQBZ","JRTCKXETXF","JFD37BXM2MUGDQBZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large Simple AD directory in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Large-SimpleAD-Usage","Hourly","Large","Simple AD","Simple AD",,"ap-southeast-1","AWS Directory Service"
|
| 155 |
"JHP7EJGFVUYHAD2X","JRTCKXETXF","JHP7EJGFVUYHAD2X.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2260 per hour for Microsoft AD (Enterprise) per domain controller usage Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.2260000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-4","AWS Directory Service"
|
| 156 |
+
"JKBDNZAKCCRC8ZJU","JRTCKXETXF","JKBDNZAKCCRC8ZJU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3340 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.3340000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-south-2","AWS Directory Service"
|
| 157 |
"JM2NDFAKAHR86PS5","JRTCKXETXF","JM2NDFAKAHR86PS5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.070 per hour for Microsoft AD (Standard Edition) domain controllers in the Asia Pacific (Seoul) region","2025-07-01","0","Inf","Hrs","0.0700000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-2","AWS Directory Service"
|
| 158 |
"JU5X8RZ2JA79QZE2","JRTCKXETXF","JU5X8RZ2JA79QZE2.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0284 per hour per account to which a Microsoft AD (Standard) directory is shared in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.0284000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-gov-west-1","AWS Directory Service"
|
| 159 |
"JV3S22PP2AY4TJNX","JRTCKXETXF","JV3S22PP2AY4TJNX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2060 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.2060000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-5","AWS Directory Service"
|
| 160 |
"JVRMN49C6GXMPRN4","JRTCKXETXF","JVRMN49C6GXMPRN4.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2230 per Hour for Microsoft AD (Enterprise) per domain controller usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.2230000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-central-1","AWS Directory Service"
|
| 161 |
+
"JZH322T8HWUVQR69","JRTCKXETXF","JZH322T8HWUVQR69.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3440 per hour for Microsoft AD (Hybrid) per domain controller usage in Canada (Central)","2025-07-01","0","Inf","Hrs","0.3440000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-central-1","AWS Directory Service"
|
| 162 |
"K3HT945UPQ4J2PXA","JRTCKXETXF","K3HT945UPQ4J2PXA.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0651 per hour per account to which a Microsoft AD (Enterprise) directory is shared in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0651000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-3","AWS Directory Service"
|
| 163 |
"K54GX8GJE4UZ4J92","JRTCKXETXF","K54GX8GJE4UZ4J92.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0204 per hour per account to which a Microsoft AD (Standard) directory is shared in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0204000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-1","AWS Directory Service"
|
| 164 |
"K7PSX5JZ2SEWZ48V","JRTCKXETXF","K7PSX5JZ2SEWZ48V.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0690 per hour for Microsoft AD (Standard) per domain controller usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-central-1","AWS Directory Service"
|
| 165 |
"KEZKVK7JD78TUW8P","JRTCKXETXF","KEZKVK7JD78TUW8P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.17 per hour for a large AD Connector directory in the EU (London) region","2025-07-01","0","Inf","Hrs","0.1700000000","USD","AWS Directory Service","AWSDirectoryService","EU (London)","AWS Region","EUW2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-west-2","AWS Directory Service"
|
| 166 |
+
"KH4NVZEKUBD3YWYS","JRTCKXETXF","KH4NVZEKUBD3YWYS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0666 per hour per account to which a Microsoft AD (Hybrid) directory is shared in EU (Frankfurt)","2025-07-01","0","Inf","Hrs","0.0666000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-central-1","AWS Directory Service"
|
| 167 |
"KU49VY99T3VE5D6S","JRTCKXETXF","KU49VY99T3VE5D6S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0618 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0618000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-7","AWS Directory Service"
|
| 168 |
"KWDSD5DHUDJK85S9","JRTCKXETXF","KWDSD5DHUDJK85S9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2170 per hour for Microsoft AD (Enterprise) per domain controller usage Isarel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.2170000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"il-central-1","AWS Directory Service"
|
| 169 |
"M3ZFKSQ9BUP7MH7U","JRTCKXETXF","M3ZFKSQ9BUP7MH7U.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0500 per hour for Small AD Connector per directory usage in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"us-east-2","AWS Directory Service"
|
| 170 |
"MCFVKZ4873X8UE9P","JRTCKXETXF","MCFVKZ4873X8UE9P.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2330 per hour for Microsoft AD (Enterprise) per domain controller usage in Europe (Zurich)","2025-07-01","0","Inf","Hrs","0.2330000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Zurich)","AWS Region","EUC2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-central-2","AWS Directory Service"
|
| 171 |
"MFXNXUN6ADS3RT46","JRTCKXETXF","MFXNXUN6ADS3RT46.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2380 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.2380000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-east-1","AWS Directory Service"
|
| 172 |
+
"MGKST3UAKZYHS85R","JRTCKXETXF","MGKST3UAKZYHS85R.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0690 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-3","AWS Directory Service"
|
| 173 |
+
"MKH59UC57GXWM9JJ","JRTCKXETXF","MKH59UC57GXWM9JJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0678 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0678000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-3","AWS Directory Service"
|
| 174 |
"MP22FMZCTFCJTNR6","JRTCKXETXF","MP22FMZCTFCJTNR6.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2230 per hour for Microsoft AD (Enterprise) per domain controller usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.2230000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-south-1","AWS Directory Service"
|
| 175 |
"MXM66CTF7M9EXBBH","JRTCKXETXF","MXM66CTF7M9EXBBH.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0539 per hour for Small AD Connector per directory usage in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0539000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-south-1","AWS Directory Service"
|
| 176 |
"N3KAK58QDQWY43NK","JRTCKXETXF","N3KAK58QDQWY43NK.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in Europe (Milan)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","EU (Milan)","AWS Region","EUS1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-1","AWS Directory Service"
|
|
|
|
| 194 |
"Q4KTE7S6JDJF8UYR","JRTCKXETXF","Q4KTE7S6JDJF8UYR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.08 per hour for a small directory in the Asia Pacific (Sydney) region","2025-07-01","0","Inf","Hrs","0.0800000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"ap-southeast-2","AWS Directory Service"
|
| 195 |
"Q827ADJMV2W2QS52","JRTCKXETXF","Q827ADJMV2W2QS52.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.17 per hour for a large AD Connector directory in the EU (Ireland) region","2025-07-01","0","Inf","Hrs","0.1700000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"eu-west-1","AWS Directory Service"
|
| 196 |
"Q8A9QJZFFFBE5KVS","JRTCKXETXF","Q8A9QJZFFFBE5KVS.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0207 per hour per account to which a Microsoft AD (Standard) directory is shared in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0207000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"me-central-1","AWS Directory Service"
|
| 197 |
+
"Q8UMU5U29NAG4E57","JRTCKXETXF","Q8UMU5U29NAG4E57.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3670 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.3670000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-4","AWS Directory Service"
|
| 198 |
+
"Q965CJSBEP76SGXD","JRTCKXETXF","Q965CJSBEP76SGXD.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0678 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Melbourne)","2025-07-01","0","Inf","Hrs","0.0678000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Melbourne)","AWS Region","APS6-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-4","AWS Directory Service"
|
| 199 |
"Q9ED4NWKYTF4MR9A","JRTCKXETXF","Q9ED4NWKYTF4MR9A.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1875 per hour for Large AD Connector per directory usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.1875000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-3","AWS Directory Service"
|
| 200 |
"QHQQRZ3KUWCYYGJ4","JRTCKXETXF","QHQQRZ3KUWCYYGJ4.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2060 per hour for Microsoft AD (Enterprise) per domain controller usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.2060000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-north-1","AWS Directory Service"
|
| 201 |
"QS9R5KG72UTDGHNW","JRTCKXETXF","QS9R5KG72UTDGHNW.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2300 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.2300000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-3","AWS Directory Service"
|
|
|
|
| 209 |
"RPMGGW2ZTPNTEZJF","JRTCKXETXF","RPMGGW2ZTPNTEZJF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0620 per hour for Microsoft AD (Standard) per domain controller usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0620000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-north-1","AWS Directory Service"
|
| 210 |
"RZBR6X3VKQN4CUTK","JRTCKXETXF","RZBR6X3VKQN4CUTK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large AD Connector directory in the Asia Pacific (Singapore) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Singapore)","AWS Region","APS1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-1","AWS Directory Service"
|
| 211 |
"S34NF6YEZSY2387S","JRTCKXETXF","S34NF6YEZSY2387S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1594 per hour for AD Connector (Large) per directory usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.1594000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ap-southeast-5","AWS Directory Service"
|
| 212 |
+
"S6VVNJ253FEW4GBU","JRTCKXETXF","S6VVNJ253FEW4GBU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3870 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.3870000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-east-1","AWS Directory Service"
|
| 213 |
"SEVF7973NR8WBQAW","JRTCKXETXF","SEVF7973NR8WBQAW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2 per hour for a Microsoft AD directory controller in the US East (Ohio) region","2025-07-01","0","Inf","Hrs","0.2000000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-east-2","AWS Directory Service"
|
| 214 |
+
"TCX597RKABS9H3KF","JRTCKXETXF","TCX597RKABS9H3KF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3360 per hour for Microsoft AD (Hybrid) per domain controller usage in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.3360000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-north-1","AWS Directory Service"
|
| 215 |
"TD7DAPXUG3DFH6Z9","JRTCKXETXF","TD7DAPXUG3DFH6Z9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0567 per hour for Small AD Connector per directory usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0567000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-west-3","AWS Directory Service"
|
| 216 |
+
"TEHGVKBJJSNYKAYQ","JRTCKXETXF","TEHGVKBJJSNYKAYQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3640 per hour for Microsoft AD (Hybrid) per domain controller usage in Asia Pacific (Seoul)","2025-07-01","0","Inf","Hrs","0.3640000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Seoul)","AWS Region","APN2-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-2","AWS Directory Service"
|
| 217 |
+
"THEEJ2M4AX23XKAQ","JRTCKXETXF","THEEJ2M4AX23XKAQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.06675 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hrs","0.0667500000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Tokyo)","AWS Region","APN1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-northeast-1","AWS Directory Service"
|
| 218 |
"TRZVMUEQC26QP5RW","JRTCKXETXF","TRZVMUEQC26QP5RW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a large AD Connector directory in the South America (Sao Paulo) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"sa-east-1","AWS Directory Service"
|
| 219 |
"TUNZJ2ZWK3657AEP","JRTCKXETXF","TUNZJ2ZWK3657AEP.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0710 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0710000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-3","AWS Directory Service"
|
| 220 |
+
"U953SMPJ5NE7NKAS","JRTCKXETXF","U953SMPJ5NE7NKAS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3630 per hour for Microsoft AD (Hybrid) per domain controller usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.3630000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-central-1","AWS Directory Service"
|
| 221 |
"UA4VF9C9YZMFMAFU","JRTCKXETXF","UA4VF9C9YZMFMAFU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0618 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0618000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-5","AWS Directory Service"
|
| 222 |
"UVHNF2MJFQ33WD3P","JRTCKXETXF","UVHNF2MJFQ33WD3P.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0180 per hour per account to which a Microsoft AD (Standard) directory is shared in US East (N. Virginia)","2025-07-01","0","Inf","Hrs","0.0180000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory","Hrs","us-east-1","AWS Directory Service"
|
| 223 |
"UYBDD8USYY5GYHP9","JRTCKXETXF","UYBDD8USYY5GYHP9.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0702 per hour for Small AD Connector per directory usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0702000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-east-1","AWS Directory Service"
|
|
|
|
| 225 |
"V86VBYCNRTDR4KDX","JRTCKXETXF","V86VBYCNRTDR4KDX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0548 per hour for Small AD Connector per directory usage in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0548000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-south-2","AWS Directory Service"
|
| 226 |
"V9U4XSS5UUTSTGJT","JRTCKXETXF","V9U4XSS5UUTSTGJT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0198 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.0198000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-7","AWS Directory Service"
|
| 227 |
"V9U9VSKE7M4Q7XRF","JRTCKXETXF","V9U9VSKE7M4Q7XRF.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0945 per hour for Microsoft AD (Standard) per domain controller usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.0945000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-gov-east-1","AWS Directory Service"
|
| 228 |
+
"VD26WA3TGTNYW2X5","JRTCKXETXF","VD26WA3TGTNYW2X5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0618 per hour per account to which a Microsoft AD (Hybrid) directory is shared in EU (Stockholm)","2025-07-01","0","Inf","Hrs","0.0618000000","USD","AWS Directory Service","AWSDirectoryService","EU (Stockholm)","AWS Region","EUN1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-north-1","AWS Directory Service"
|
| 229 |
"VFV5Z98N9SBRGFHM","JRTCKXETXF","VFV5Z98N9SBRGFHM.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.2170 per hour for Microsoft AD (Enterprise) per domain controller usage in EU (Paris)","2025-07-01","0","Inf","Hrs","0.2170000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-3","AWS Directory Service"
|
| 230 |
"VWK7F93RYHH8QP7N","JRTCKXETXF","VWK7F93RYHH8QP7N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.064 per hour for Microsoft AD (Standard Edition) domain controllers in the Canada (Central) region","2025-07-01","0","Inf","Hrs","0.0640000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-central-1","AWS Directory Service"
|
| 231 |
"VX2AGBSUSZ5XB6HE","JRTCKXETXF","VX2AGBSUSZ5XB6HE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per hour for a Microsoft AD directory controller in the Asia Pacific (Sydney) region","2025-07-01","0","Inf","Hrs","0.2400000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-2","AWS Directory Service"
|
| 232 |
"VY6ADRAGPH67QG95","JRTCKXETXF","VY6ADRAGPH67QG95.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1672 per hour for Large AD Connector per directory usage in Canada West (Calgary)","2025-07-01","0","Inf","Hrs","0.1672000000","USD","AWS Directory Service","AWSDirectoryService","Canada West (Calgary)","AWS Region","CAN2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"ca-west-1","AWS Directory Service"
|
| 233 |
"W9JNHYVKZQUZRF65","JRTCKXETXF","W9JNHYVKZQUZRF65.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1755 per hour for Large AD Connector per directory usage in US West (N. California)","2025-07-01","0","Inf","Hrs","0.1755000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-west-1","AWS Directory Service"
|
| 234 |
"WD4KBR3CBSE743FQ","JRTCKXETXF","WD4KBR3CBSE743FQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0201 per hour per account to which a Microsoft AD (Standard) directory is shared in EU (Frankfurt)","2025-07-01","0","Inf","Hrs","0.0201000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-central-1","AWS Directory Service"
|
| 235 |
+
"WE5ZKHNX5H39FWYX","JRTCKXETXF","WE5ZKHNX5H39FWYX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.4260 per hour for Microsoft AD (Hybrid) per domain controller usage in South America (Sao Paulo)","2025-07-01","0","Inf","Hrs","0.4260000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"sa-east-1","AWS Directory Service"
|
| 236 |
"WNBXMMC6457CYKUG","JRTCKXETXF","WNBXMMC6457CYKUG.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0730 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hrs","0.0730000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Osaka)","AWS Region","APN3-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-northeast-3","AWS Directory Service"
|
| 237 |
"WPEXCWDFR37P8NB4","JRTCKXETXF","WPEXCWDFR37P8NB4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.2060 per hour for Microsoft AD (Enterprise) per domain controller usage in Asia Pacific (Thailand)","2025-07-01","0","Inf","Hrs","0.2060000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Thailand)","AWS Region","APS9-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-7","AWS Directory Service"
|
| 238 |
"WQSP4RP96MVGG9WQ","JRTCKXETXF","WQSP4RP96MVGG9WQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0660 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Hrs","0.0660000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Malaysia)","AWS Region","APS7-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-southeast-5","AWS Directory Service"
|
|
|
|
| 241 |
"WVFP48TCBUM357WB","JRTCKXETXF","WVFP48TCBUM357WB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.060 per hour for Microsoft AD (Standard Edition) domain controllers in the US East (Ohio) region","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-east-2","AWS Directory Service"
|
| 242 |
"WYSW4ZC7DENZTC6R","JRTCKXETXF","WYSW4ZC7DENZTC6R.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0678 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0678000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-3","AWS Directory Service"
|
| 243 |
"X7CZJTNZRH7DVYUU","JRTCKXETXF","X7CZJTNZRH7DVYUU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.06 per hour for a small directory in the EU (London) region","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","EU (London)","AWS Region","EUW2-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-west-2","AWS Directory Service"
|
| 244 |
+
"XNUTBEDABWBAPQPU","JRTCKXETXF","XNUTBEDABWBAPQPU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3250 per hour for Microsoft AD (Hybrid) per domain controller usage in US East (N. Virginia)","2025-07-01","0","Inf","Hrs","0.3250000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-east-1","AWS Directory Service"
|
| 245 |
"XS393M3AZPZZFKGV","JRTCKXETXF","XS393M3AZPZZFKGV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.208 per hour for a Microsoft AD directory controller in the Canada (Central) region","2025-07-01","0","Inf","Hrs","0.2080000000","USD","AWS Directory Service","AWSDirectoryService","Canada (Central)","AWS Region","CAN1-MicrosoftAD-DC-Usage","Hourly","Enterprise","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ca-central-1","AWS Directory Service"
|
| 246 |
"XVAW8UDGUKTK53TU","JRTCKXETXF","XVAW8UDGUKTK53TU.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0213 per hour per account to which a Microsoft AD (Standard) directory is shared in Asia Pacific (Jakarta)","2025-07-01","0","Inf","Hrs","0.0213000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Jakarta)","AWS Region","APS4-Std-SharedMsftAD-Usage","Hourly","Standard","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-3","AWS Directory Service"
|
| 247 |
"XVQBRVU739PWRCZZ","JRTCKXETXF","XVQBRVU739PWRCZZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1900 per hour for Large AD Connector per directory usage in AWS GovCloud (US-East)","2025-07-01","0","Inf","Hrs","0.1900000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-East)","AWS Region","UGE1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-gov-east-1","AWS Directory Service"
|
| 248 |
+
"XVUAM5DVPYQ6JVN3","JRTCKXETXF","XVUAM5DVPYQ6JVN3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3440 per hour for Microsoft AD (Hybrid) per domain controller usage in EU (Ireland)","2025-07-01","0","Inf","Hrs","0.3440000000","USD","AWS Directory Service","AWSDirectoryService","EU (Ireland)","AWS Region","EU-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"eu-west-1","AWS Directory Service"
|
| 249 |
+
"XZNTYVSWZU299BBS","JRTCKXETXF","XZNTYVSWZU299BBS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0720 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hrs","0.0720000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Sydney)","AWS Region","APS2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-southeast-2","AWS Directory Service"
|
| 250 |
"Y37AF8B9KPK4U7H9","JRTCKXETXF","Y37AF8B9KPK4U7H9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.05 per hour for a small directory in the US East (Northern Virginia) region","2025-07-01","0","Inf","Hrs","0.0500000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Small-Directory-Usage","Hourly","Small","Simple AD or AD Connector","Simple AD or AD Connector",,"us-east-1","AWS Directory Service"
|
| 251 |
"Y38T5AYDTUTPYFTX","JRTCKXETXF","Y38T5AYDTUTPYFTX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1900 per hour for Large AD Connector per directory usage in AWS GovCloud (US)","2025-07-01","0","Inf","Hrs","0.1900000000","USD","AWS Directory Service","AWSDirectoryService","AWS GovCloud (US-West)","AWS Region","UGW1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-gov-west-1","AWS Directory Service"
|
| 252 |
"YANNMA8TVZGPH67N","JRTCKXETXF","YANNMA8TVZGPH67N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.086 per hour for Microsoft AD (Standard Edition) domain controllers in the South America (Sao Paulo) region","2025-07-01","0","Inf","Hrs","0.0860000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"sa-east-1","AWS Directory Service"
|
| 253 |
+
"YB34VWWH2PXC4E9Z","JRTCKXETXF","YB34VWWH2PXC4E9Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0672 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hrs","0.0672000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Mumbai)","AWS Region","APS3-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ap-south-1","AWS Directory Service"
|
| 254 |
"YCMP98T3HDZATTDX","JRTCKXETXF","YCMP98T3HDZATTDX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.09 per hour for a small directory in the South America (Sao Paulo) region","2025-07-01","0","Inf","Hrs","0.0900000000","USD","AWS Directory Service","AWSDirectoryService","South America (Sao Paulo)","AWS Region","SAE1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"sa-east-1","AWS Directory Service"
|
| 255 |
"YCY45AJCYA6GUDM4","JRTCKXETXF","YCY45AJCYA6GUDM4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0630 per hour for Microsoft AD (Standard) per domain controller usage in Mexico (Central)","2025-07-01","0","Inf","Hrs","0.0630000000","USD","AWS Directory Service","AWSDirectoryService","Mexico (Central)","AWS Region","MXC1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"mx-central-1","AWS Directory Service"
|
| 256 |
"YDCWSZZMRQVNB62W","JRTCKXETXF","YDCWSZZMRQVNB62W.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0690 per hour for Microsoft AD (Standard) per domain controller usage in Middle East (Bahrain)","2025-07-01","0","Inf","Hrs","0.0690000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (Bahrain)","AWS Region","MES1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"me-south-1","AWS Directory Service"
|
| 257 |
"YFSZRK325594SZ9N","JRTCKXETXF","YFSZRK325594SZ9N.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0603 per hour for Small AD Connector per directory usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.0603000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"me-central-1","AWS Directory Service"
|
| 258 |
"YJVMTZTZDNUQV7A7","JRTCKXETXF","YJVMTZTZDNUQV7A7.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0651 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Israel (Tel Aviv)","2025-07-01","0","Inf","Hrs","0.0651000000","USD","AWS Directory Service","AWSDirectoryService","Israel (Tel Aviv)","AWS Region","ILC1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"il-central-1","AWS Directory Service"
|
| 259 |
+
"YMUM5XSHQX6EDRHH","JRTCKXETXF","YMUM5XSHQX6EDRHH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0636 per hour per account to which a Microsoft AD (Hybrid) directory is shared in Europe (Spain)","2025-07-01","0","Inf","Hrs","0.0636000000","USD","AWS Directory Service","AWSDirectoryService","Europe (Spain)","AWS Region","EUS2-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-south-2","AWS Directory Service"
|
| 260 |
"YMYQTQZJGZNANHG2","JRTCKXETXF","YMYQTQZJGZNANHG2.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0636 per hour per account to which a Microsoft AD (Enterprise) directory is shared in Canada West (Calgary)","2025-07-01","0","Inf","Hrs","0.0636000000","USD","AWS Directory Service","AWSDirectoryService","Canada West (Calgary)","AWS Region","CAN2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"ca-west-1","AWS Directory Service"
|
| 261 |
"YNZ4HR6YWRKQASX2","JRTCKXETXF","YNZ4HR6YWRKQASX2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.06 per hour for a small directory in the EU (Frankfurt) region","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"eu-central-1","AWS Directory Service"
|
| 262 |
"YU99SHSPXHKHVKXK","JRTCKXETXF","YU99SHSPXHKHVKXK.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0538 per hour for Small AD Connector per directory usage in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hrs","0.0538000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hyderabad)","AWS Region","APS5-Small-Directory-Usage","Hourly","Small","AD Connector","AD Connector",,"ap-south-2","AWS Directory Service"
|
| 263 |
"YUY4RVX5CQYHQUUT","JRTCKXETXF","YUY4RVX5CQYHQUUT.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1844 per Hour for Large AD Connector per directory usage in Middle East (UAE)","2025-07-01","0","Inf","Hrs","0.1844000000","USD","AWS Directory Service","AWSDirectoryService","Middle East (UAE)","AWS Region","MEC1-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"me-central-1","AWS Directory Service"
|
| 264 |
"YXP83NRMSRH24DWJ","JRTCKXETXF","YXP83NRMSRH24DWJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0770 per hour for Microsoft AD (Standard) per domain controller usage in Asia Pacific (Hong Kong)","2025-07-01","0","Inf","Hrs","0.0770000000","USD","AWS Directory Service","AWSDirectoryService","Asia Pacific (Hong Kong)","AWS Region","APE1-Std-MicrosoftAD-DC-Usage","Hourly","Standard","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"ap-east-1","AWS Directory Service"
|
| 265 |
+
"Z328EWKWA83BMX9Y","JRTCKXETXF","Z328EWKWA83BMX9Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0654 per hour per account to which a Microsoft AD (Hybrid) directory is shared in US West (N. California)","2025-07-01","0","Inf","Hrs","0.0654000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-1","AWS Directory Service"
|
| 266 |
+
"Z383MRFHQMBH7KYJ","JRTCKXETXF","Z383MRFHQMBH7KYJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0600 per hour per account to which a Microsoft AD (Hybrid) directory is shared in US East (N. Virginia)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US East (N. Virginia)","AWS Region","Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-east-1","AWS Directory Service"
|
| 267 |
+
"Z5YMXQ5V78AAAF5K","JRTCKXETXF","Z5YMXQ5V78AAAF5K.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.3530 per hour for Microsoft AD (Hybrid) per domain controller usage in US West (N. California)","2025-07-01","0","Inf","Hrs","0.3530000000","USD","AWS Directory Service","AWSDirectoryService","US West (N. California)","AWS Region","USW1-Hyb-MicrosoftAD-DC-Usage","Hourly","Hybrid","Microsoft AD","AWS Directory Service for Microsoft Active Directory (Microsoft AD)",,"us-west-1","AWS Directory Service"
|
| 268 |
"Z78ZKNWCHWAJUDK8","JRTCKXETXF","Z78ZKNWCHWAJUDK8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0600 per hour per account to which a Microsoft AD (Enterprise) directory is shared in US West (Oregon)","2025-07-01","0","Inf","Hrs","0.0600000000","USD","AWS Directory Service","AWSDirectoryService","US West (Oregon)","AWS Region","USW2-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"us-west-2","AWS Directory Service"
|
| 269 |
+
"ZE7U5FPP97EXYQ28","JRTCKXETXF","ZE7U5FPP97EXYQ28.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0651 per hour per account to which a Microsoft AD (Hybrid) directory is shared in EU (Paris)","2025-07-01","0","Inf","Hrs","0.0651000000","USD","AWS Directory Service","AWSDirectoryService","EU (Paris)","AWS Region","EUW3-Hyb-SharedMsftAD-Usage","Hourly","Hybrid","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-west-3","AWS Directory Service"
|
| 270 |
"ZNTM9NSZVQ4ASZD3","JRTCKXETXF","ZNTM9NSZVQ4ASZD3.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.0666 per hour per account to which a Microsoft AD (Enterprise) directory is shared in EU (Frankfurt)","2025-07-01","0","Inf","Hrs","0.0666000000","USD","AWS Directory Service","AWSDirectoryService","EU (Frankfurt)","AWS Region","EUC1-SharedMsftAD-Usage","Hourly","Enterprise","Shared Microsoft AD","Shared AWS Directory Service for Microsoft Active Directory",,"eu-central-1","AWS Directory Service"
|
| 271 |
"ZVV7VUEZ9N3FTU6V","JRTCKXETXF","ZVV7VUEZ9N3FTU6V.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 0.1500 per hour for Large AD Connector per directory usage in US East (Ohio)","2025-07-01","0","Inf","Hrs","0.1500000000","USD","AWS Directory Service","AWSDirectoryService","US East (Ohio)","AWS Region","USE2-Large-ADConnector-Usage","Hourly","Large","AD Connector","AD Connector",,"us-east-2","AWS Directory Service"
|
AWSGreengrass.csv
CHANGED
|
@@ -1,15 +1,17 @@
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Region Code","serviceName","Tenancy Support"
|
| 2 |
-
"2WDYM5T3GBRKEQSE","JRTCKXETXF","2WDYM5T3GBRKEQSE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","
|
| 3 |
-
"56K2END5E9SMDMGE","JRTCKXETXF","56K2END5E9SMDMGE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","
|
| 4 |
-
"5GHVGYMJ9VHZT6FP","JRTCKXETXF","5GHVGYMJ9VHZT6FP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","
|
| 5 |
-
"6HB3URTPE93BM6NH","JRTCKXETXF","6HB3URTPE93BM6NH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","
|
| 6 |
-
"7952KR7SXATQY4DU","JRTCKXETXF","7952KR7SXATQY4DU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","
|
| 7 |
-
"
|
| 8 |
-
"
|
| 9 |
-
"
|
| 10 |
-
"
|
| 11 |
-
"
|
| 12 |
-
"
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
|
|
|
|
|
|
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Region Code","serviceName","Tenancy Support"
|
| 2 |
+
"2WDYM5T3GBRKEQSE","JRTCKXETXF","2WDYM5T3GBRKEQSE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","EU (Ireland)","AWS Region","EUW1-ActiveGGC-Devices","SingleNode","eu-west-1","AWS Greengrass","Single"
|
| 3 |
+
"56K2END5E9SMDMGE","JRTCKXETXF","56K2END5E9SMDMGE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","EU (London)","AWS Region","EUW2-ActiveGGC-Devices","SingleNode","eu-west-2","AWS Greengrass","Single"
|
| 4 |
+
"5GHVGYMJ9VHZT6FP","JRTCKXETXF","5GHVGYMJ9VHZT6FP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Asia Pacific (Tokyo)","AWS Region","APN1-ActiveGGC-Devices","SingleNode","ap-northeast-1","AWS Greengrass","Single"
|
| 5 |
+
"6HB3URTPE93BM6NH","JRTCKXETXF","6HB3URTPE93BM6NH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","AWS GovCloud (US-West)","AWS Region","UGW1-ActiveGGC-Devices","SingleNode","us-gov-west-1","AWS Greengrass","Single"
|
| 6 |
+
"7952KR7SXATQY4DU","JRTCKXETXF","7952KR7SXATQY4DU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Asia Pacific (Mumbai)","AWS Region","APS3-ActiveGGC-Devices","SingleNode","ap-south-1","AWS Greengrass","Single"
|
| 7 |
+
"9U4ZZB8XD3CD6GUU","JRTCKXETXF","9U4ZZB8XD3CD6GUU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.16 per Active-GGC-Device for SingleNode in Asia Pacific (Malaysia)","2025-07-01","0","Inf","Active-GGC-Devices","0.1600000000","USD","AWSGreengrass","AWSGreengrass","Asia Pacific (Malaysia)","AWS Region","APS7-ActiveGGC-Devices","SingleNode","ap-southeast-5","AWS Greengrass","Single"
|
| 8 |
+
"ECUZNDGTKB7YQZV3","JRTCKXETXF","ECUZNDGTKB7YQZV3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Asia Pacific (Singapore)","AWS Region","APS1-ActiveGGC-Devices","SingleNode","ap-southeast-1","AWS Greengrass","Single"
|
| 9 |
+
"GY8WTZ8RRKZJTEAY","JRTCKXETXF","GY8WTZ8RRKZJTEAY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Asia Pacific (Seoul)","AWS Region","APN2-ActiveGGC-Devices","SingleNode","ap-northeast-2","AWS Greengrass","Single"
|
| 10 |
+
"H4UXPATZVM7F6RYF","JRTCKXETXF","H4UXPATZVM7F6RYF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.16 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1600000000","USD","AWSGreengrass","AWSGreengrass","US East (N. Virginia)","AWS Region","USE1-ActiveGGC-Devices","SingleNode","us-east-1","AWS Greengrass","Single"
|
| 11 |
+
"MATGV4H9VVKCQE29","JRTCKXETXF","MATGV4H9VVKCQE29.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.18 per Active-GGC-Devices for ActiveGGC-Devices:SingleNode in Canada (Central)","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Canada (Central)","AWS Region","CAN1-ActiveGGC-Devices","SingleNode","ca-central-1","AWS Greengrass","Single"
|
| 12 |
+
"NJBZG3QRAXDWGSAH","JRTCKXETXF","NJBZG3QRAXDWGSAH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Asia Pacific (Sydney)","AWS Region","APS2-ActiveGGC-Devices","SingleNode","ap-southeast-2","AWS Greengrass","Single"
|
| 13 |
+
"PMDQ5VRGBTZDEJC5","JRTCKXETXF","PMDQ5VRGBTZDEJC5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.16 per Active GGC Device","2025-07-01","0","Inf","ActiveGGC-Devices","0.1600000000","USD","AWSGreengrass","AWSGreengrass","US East (Ohio)","AWS Region","USE2-ActiveGGC-Devices","SingleNode","us-east-2","AWS Greengrass","Single"
|
| 14 |
+
"RSACVX6UAJ7ER7QW","JRTCKXETXF","RSACVX6UAJ7ER7QW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.16 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1600000000","USD","AWSGreengrass","AWSGreengrass","US West (Oregon)","AWS Region","USW2-ActiveGGC-Devices","SingleNode","us-west-2","AWS Greengrass","Single"
|
| 15 |
+
"SX4VW5WDSRHU995E","JRTCKXETXF","SX4VW5WDSRHU995E.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active GGC Device","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","EU (Frankfurt)","AWS Region","EUC1-ActiveGGC-Devices","SingleNode","eu-central-1","AWS Greengrass","Single"
|
| 16 |
+
"T4QMAKFBHKPY5QVN","JRTCKXETXF","T4QMAKFBHKPY5QVN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.18 per Active-GGC-Device for SingleNode in Europe (Spain)","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","Europe (Spain)","AWS Region","EUS2-ActiveGGC-Devices","SingleNode","eu-south-2","AWS Greengrass","Single"
|
| 17 |
+
"VEZUDPT8E9484RPW","JRTCKXETXF","VEZUDPT8E9484RPW.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.18 per Active-GGC-Devices for ActiveGGC-Devices:SingleNode in AWS GovCloud (US-East)","2025-07-01","0","Inf","Active-GGC-Devices","0.1800000000","USD","AWSGreengrass","AWSGreengrass","AWS GovCloud (US-East)","AWS Region","UGE1-ActiveGGC-Devices","SingleNode","us-gov-east-1","AWS Greengrass","Single"
|
AWSIoT.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AWSIoTSiteWise.csv
CHANGED
|
@@ -3,6 +3,7 @@
|
|
| 3 |
"26AU6AK4HHR4C4ET","JRTCKXETXF","26AU6AK4HHR4C4ET.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000054167 per GB-hour ($0.0013 per GB-day) for data storage warm tier in Asia Pacific (Singapore)","2025-07-01","0","Inf","GB-Hours","0.0000541700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise Storage Warm","APS1-AWSIoTSiteWise-StorageWarm","","ap-southeast-1","AWS IoT SiteWise"
|
| 4 |
"2AVCZDB8EC49UFCY","JRTCKXETXF","2AVCZDB8EC49UFCY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in EU (Ireland)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Monitor","EU-AWSIoTSiteWise-MonitorUsers","","eu-west-1","AWS IoT SiteWise"
|
| 5 |
"2DW5YMRS8Y384V22","JRTCKXETXF","2DW5YMRS8Y384V22.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per GB scanned in AWS GovCloud (US)","2025-07-01","0","Inf","GB","0.2400000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise DataScanned","UGW1-AWSIoTSiteWise-Query","","us-gov-west-1","AWS IoT SiteWise"
|
|
|
|
| 6 |
"2RATKTPQCKRF5PJ2","JRTCKXETXF","2RATKTPQCKRF5PJ2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.3 per million messages for messaging in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Messages","0.0000013000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Tokyo)","AWS Region","AWS IoT SiteWise Messaging","APN1-AWSIoTSiteWise-Messaging","","ap-northeast-1","AWS IoT SiteWise"
|
| 7 |
"2SKYJJY76XC98RDZ","JRTCKXETXF","2SKYJJY76XC98RDZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.2 per million messages for messaging in EU (Frankfurt)","2025-07-01","0","Inf","Messages","0.0000012000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Frankfurt)","AWS Region","AWS IoT SiteWise Messaging","EUC1-AWSIoTSiteWise-Messaging","","eu-central-1","AWS IoT SiteWise"
|
| 8 |
"33VHWPRVSH8285NB","JRTCKXETXF","33VHWPRVSH8285NB.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 120.0 per 5,000 API Calls for AWS IoT SiteWise Assistant - us-west-2","2025-07-01","0","Inf","API Calls","0.0240000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US West (Oregon)","AWS Region","AWS IoT SiteWise Assistant API","USW2-AWSIoTSiteWise-Assistant-API-Base","InvokeAssistant","us-west-2","AWS IoT SiteWise"
|
|
@@ -14,11 +15,13 @@
|
|
| 14 |
"5JVQBU4JTGBENZ2A","JRTCKXETXF","5JVQBU4JTGBENZ2A.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000054167 per GB-hour ($0.0013 per GB-day) for data storage warm tier in Asia Pacific (Seoul)","2025-07-01","0","Inf","GB-Hours","0.0000541700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Storage Warm","APN2-AWSIoTSiteWise-StorageWarm","","ap-northeast-2","AWS IoT SiteWise"
|
| 15 |
"5QWJ9C9EHHFSTDZJ","JRTCKXETXF","5QWJ9C9EHHFSTDZJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in Asia Pacific (Sydney)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Edge","APS2-AWSIoTSiteWise-Edge-Data-Processing","","ap-southeast-2","AWS IoT SiteWise"
|
| 16 |
"6CMDQWUC425SM25Z","JRTCKXETXF","6CMDQWUC425SM25Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.6 per million computations for data processing in AWS GovCloud (US)","2025-07-01","0","Inf","Computations","0.0000006000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise Computations","UGW1-AWSIoTSiteWise-Computations","","us-gov-west-1","AWS IoT SiteWise"
|
|
|
|
| 17 |
"6SGMBWP6RZG3E667","JRTCKXETXF","6SGMBWP6RZG3E667.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.65 per million computations for data processing in Asia Pacific (Seoul)","2025-07-01","0","Inf","Computations","0.0000006500","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Computations","APN2-AWSIoTSiteWise-Computations","","ap-northeast-2","AWS IoT SiteWise"
|
| 18 |
"7MD3N5YGFF3292NA","JRTCKXETXF","7MD3N5YGFF3292NA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in Asia Pacific (Singapore)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise Edge","APS1-AWSIoTSiteWise-Edge-Data-Processing","","ap-southeast-1","AWS IoT SiteWise"
|
| 19 |
"8NYJQNFZRSNSQTH8","JRTCKXETXF","8NYJQNFZRSNSQTH8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00041667 per GB-hour ($0.01 per GB-day) for data storage in US East (Ohio)","2025-07-01","0","Inf","GB-Hours","0.0004170000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Storage","USE2-AWSIoTSiteWise-Storage","","us-east-2","AWS IoT SiteWise"
|
| 20 |
"8TU6MV48WW27VBFF","JRTCKXETXF","8TU6MV48WW27VBFF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.2 per million messages for messaging in AWS GovCloud (US)","2025-07-01","0","Inf","Messages","0.0000012000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise Messaging","UGW1-AWSIoTSiteWise-Messaging","","us-gov-west-1","AWS IoT SiteWise"
|
| 21 |
"8UDS7ZNFJJTCTV35","JRTCKXETXF","8UDS7ZNFJJTCTV35.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 120.0 per 5,000 API Calls for AWS IoT SiteWise Assistant - eu-west-1","2025-07-01","0","Inf","API Calls","0.0240000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Assistant API","EU-AWSIoTSiteWise-Assistant-API-Base","InvokeAssistant","eu-west-1","AWS IoT SiteWise"
|
|
|
|
| 22 |
"9RZS7677VS9XS73P","JRTCKXETXF","9RZS7677VS9XS73P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per thousand objects for data export in US East (Ohio)","2025-07-01","0","Inf","Objects","0.0000050000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Data Export","USE2-AWSIoTSiteWise-DataExport","","us-east-2","AWS IoT SiteWise"
|
| 23 |
"ASPWCMQDTJY87RZ2","JRTCKXETXF","ASPWCMQDTJY87RZ2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.0 per million messages for messaging in US East (N. Virginia)","2025-07-01","0","Inf","Messages","0.0000010000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Messaging","USE1-AWSIoTSiteWise-Messaging","","us-east-1","AWS IoT SiteWise"
|
| 24 |
"AXD6ZBBACFX32DYJ","JRTCKXETXF","AXD6ZBBACFX32DYJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.6 per million computations for data processing in EU (Ireland)","2025-07-01","0","Inf","Computations","0.0000006000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Computations","EU-AWSIoTSiteWise-Computations","","eu-west-1","AWS IoT SiteWise"
|
|
@@ -34,10 +37,12 @@
|
|
| 34 |
"EWQRRW2A9NASAX8M","JRTCKXETXF","EWQRRW2A9NASAX8M.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in US East (N. Virginia)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Edge","USE1-AWSIoTSiteWise-Edge-Data-Processing","","us-east-1","AWS IoT SiteWise"
|
| 35 |
"EWTBU74BH5SFXEYH","JRTCKXETXF","EWTBU74BH5SFXEYH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00054167 per GB-hour ($0.013 per GB-day) for data storage in Asia Pacific (Tokyo)","2025-07-01","0","Inf","GB-Hours","0.0005416700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Tokyo)","AWS Region","AWS IoT SiteWise Storage","APN1-AWSIoTSiteWise-Storage","","ap-northeast-1","AWS IoT SiteWise"
|
| 36 |
"EX4AJB3WA3G88HE6","JRTCKXETXF","EX4AJB3WA3G88HE6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.65 per million computations for data processing in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Computations","0.0000006500","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Mumbai)","AWS Region","AWS IoT SiteWise Computations","APS3-AWSIoTSiteWise-Computations","","ap-south-1","AWS IoT SiteWise"
|
|
|
|
| 37 |
"FEEWSHP7CR7Z9EAU","JRTCKXETXF","FEEWSHP7CR7Z9EAU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per GB scanned in Asia Pacific (Sydney)","2025-07-01","0","Inf","GB","0.2400000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise DataScanned","APS2-AWSIoTSiteWise-Query","","ap-southeast-2","AWS IoT SiteWise"
|
| 38 |
"FYPS6WPS6R5EA8K6","JRTCKXETXF","FYPS6WPS6R5EA8K6.JRTCKXETXF.8EEUB22XNJ","OnDemand","USD 120.0 per month enablement fee for AWS IoT SiteWise Assistant - ap-southeast-2","2025-07-01","0","1","Monthly Fee","120.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Assistant","APS2-AWSIoTSiteWise-Assistant-Fee","InvokeAssistant","ap-southeast-2","AWS IoT SiteWise"
|
| 39 |
"FYPS6WPS6R5EA8K6","JRTCKXETXF","FYPS6WPS6R5EA8K6.JRTCKXETXF.JTU8TKNAMW","OnDemand","USD 120.0 per month enablement fee for AWS IoT SiteWise Assistant - ap-southeast-2","2025-07-01","1","Inf","Monthly Fee","0.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Assistant","APS2-AWSIoTSiteWise-Assistant-Fee","InvokeAssistant","ap-southeast-2","AWS IoT SiteWise"
|
| 40 |
"G57JPAMH9VAA9KY5","JRTCKXETXF","G57JPAMH9VAA9KY5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00005 per GB-hour ($0.0012 per GB-day) for data storage warm tier in Asia Pacific (Sydney)","2025-07-01","0","Inf","GB-Hours","0.0000500000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Storage Warm","APS2-AWSIoTSiteWise-StorageWarm","","ap-southeast-2","AWS IoT SiteWise"
|
|
|
|
| 41 |
"GEMJ2Q5EMWE8Q377","JRTCKXETXF","GEMJ2Q5EMWE8Q377.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in US East (Ohio)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Edge","USE2-AWSIoTSiteWise-Edge-Data-Processing","","us-east-2","AWS IoT SiteWise"
|
| 42 |
"GJATGRNUP66JEHXP","JRTCKXETXF","GJATGRNUP66JEHXP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per GB-hour ($0.012 per GB-day) for data storage in Asia Pacific (Sydney)","2025-07-01","0","Inf","GB-Hours","0.0005000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Storage","APS2-AWSIoTSiteWise-Storage","","ap-southeast-2","AWS IoT SiteWise"
|
| 43 |
"GQ7C6AF9DFXHANG7","JRTCKXETXF","GQ7C6AF9DFXHANG7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.0 per million messages for messaging in US East (Ohio)","2025-07-01","0","Inf","Messages","0.0000010000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Messaging","USE2-AWSIoTSiteWise-Messaging","","us-east-2","AWS IoT SiteWise"
|
|
@@ -76,17 +81,21 @@
|
|
| 76 |
"RV549NMPCGD5X66C","JRTCKXETXF","RV549NMPCGD5X66C.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in US West (Oregon)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US West (Oregon)","AWS Region","AWS IoT SiteWise Monitor","USW2-AWSIoTSiteWise-MonitorUsers","","us-west-2","AWS IoT SiteWise"
|
| 77 |
"S8RKTZVA2XYN3GCT","JRTCKXETXF","S8RKTZVA2XYN3GCT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0065 per thousand objects for data export in Asia Pacific (Singapore)","2025-07-01","0","Inf","Objects","0.0000065000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise Data Export","APS1-AWSIoTSiteWise-DataExport","","ap-southeast-1","AWS IoT SiteWise"
|
| 78 |
"SVC9WQ6W63GT4R9F","JRTCKXETXF","SVC9WQ6W63GT4R9F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in Asia Pacific (Seoul)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Edge","APN2-AWSIoTSiteWise-Edge-Data-Processing","","ap-northeast-2","AWS IoT SiteWise"
|
|
|
|
| 79 |
"SZBTCKYRYWS589SP","JRTCKXETXF","SZBTCKYRYWS589SP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00005 per GB-hour ($0.0012 per GB-day) for data storage warm tier in AWS GovCloud (US)","2025-07-01","0","Inf","GB-Hours","0.0000500000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise Storage Warm","UGW1-AWSIoTSiteWise-StorageWarm","","us-gov-west-1","AWS IoT SiteWise"
|
| 80 |
"TBKMJZEYAF8W52K4","JRTCKXETXF","TBKMJZEYAF8W52K4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in US East (Ohio)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Monitor","USE2-AWSIoTSiteWise-MonitorUsers","","us-east-2","AWS IoT SiteWise"
|
| 81 |
"TD59DANSHJZHP2SK","JRTCKXETXF","TD59DANSHJZHP2SK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0065 per thousand objects for data export in Asia Pacific (Seoul)","2025-07-01","0","Inf","Objects","0.0000065000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Data Export","APN2-AWSIoTSiteWise-DataExport","","ap-northeast-2","AWS IoT SiteWise"
|
| 82 |
"TTPSM3HNYFUH5N75","JRTCKXETXF","TTPSM3HNYFUH5N75.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 120.0 per 5,000 API Calls for AWS IoT SiteWise Assistant - us-east-1","2025-07-01","0","Inf","API Calls","0.0240000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Assistant API","USE1-AWSIoTSiteWise-Assistant-API-Base","InvokeAssistant","us-east-1","AWS IoT SiteWise"
|
|
|
|
| 83 |
"UAS4CW6CM35G9K4Y","JRTCKXETXF","UAS4CW6CM35G9K4Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in EU (Ireland)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Edge","EU-AWSIoTSiteWise-Edge-Data-Processing","","eu-west-1","AWS IoT SiteWise"
|
|
|
|
| 84 |
"UVMZA2MASHMCF798","JRTCKXETXF","UVMZA2MASHMCF798.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in Canada (Central)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Canada (Central)","AWS Region","AWS IoT SiteWise Monitor","CAN1-AWSIoTSiteWise-MonitorUsers","","ca-central-1","AWS IoT SiteWise"
|
| 85 |
"UZ6VUM2NRUGCJKCC","JRTCKXETXF","UZ6VUM2NRUGCJKCC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.3 per million messages for messaging in Asia Pacific (Seoul)","2025-07-01","0","Inf","Messages","0.0000013000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Messaging","APN2-AWSIoTSiteWise-Messaging","","ap-northeast-2","AWS IoT SiteWise"
|
| 86 |
"UZA75S5ASHD8VAWJ","JRTCKXETXF","UZA75S5ASHD8VAWJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00041667 per GB-hour ($0.01 per GB-day) for data storage in Canada (Central)","2025-07-01","0","Inf","GB-Hours","0.0004170000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Canada (Central)","AWS Region","AWS IoT SiteWise Storage","CAN1-AWSIoTSiteWise-Storage","","ca-central-1","AWS IoT SiteWise"
|
| 87 |
"VU78S4T5N8KNM7D6","JRTCKXETXF","VU78S4T5N8KNM7D6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in US East (N. Virginia)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Monitor","USE1-AWSIoTSiteWise-MonitorUsers","","us-east-1","AWS IoT SiteWise"
|
| 88 |
"VVG4U968CHMBXVMR","JRTCKXETXF","VVG4U968CHMBXVMR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000054167 per GB-hour ($0.0013 per GB-day) for data storage warm tier in Asia Pacific (Tokyo)","2025-07-01","0","Inf","GB-Hours","0.0000541700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Tokyo)","AWS Region","AWS IoT SiteWise Storage Warm","APN1-AWSIoTSiteWise-StorageWarm","","ap-northeast-1","AWS IoT SiteWise"
|
| 89 |
"WUM7V3H9B6Z5WAYN","JRTCKXETXF","WUM7V3H9B6Z5WAYN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.0 per million messages for messaging in US West (Oregon)","2025-07-01","0","Inf","Messages","0.0000010000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US West (Oregon)","AWS Region","AWS IoT SiteWise Messaging","USW2-AWSIoTSiteWise-Messaging","","us-west-2","AWS IoT SiteWise"
|
|
|
|
| 90 |
"XAJ98FDYPAVEX9C3","JRTCKXETXF","XAJ98FDYPAVEX9C3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per GB scanned in EU (Ireland)","2025-07-01","0","Inf","GB","0.2400000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise DataScanned","EU-AWSIoTSiteWise-Query","","eu-west-1","AWS IoT SiteWise"
|
| 91 |
"XDA8MEV4NHY4QHA6","JRTCKXETXF","XDA8MEV4NHY4QHA6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00005 per GB-hour ($0.0012 per GB-day) for data storage warm tier in EU (Frankfurt)","2025-07-01","0","Inf","GB-Hours","0.0000500000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Frankfurt)","AWS Region","AWS IoT SiteWise Storage Warm","EUC1-AWSIoTSiteWise-StorageWarm","","eu-central-1","AWS IoT SiteWise"
|
| 92 |
"XMD5GV57W3YRXKX7","JRTCKXETXF","XMD5GV57W3YRXKX7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.26 per GB scanned in Asia Pacific (Singapore)","2025-07-01","0","Inf","GB","0.2600000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise DataScanned","APS1-AWSIoTSiteWise-Query","","ap-southeast-1","AWS IoT SiteWise"
|
|
|
|
| 3 |
"26AU6AK4HHR4C4ET","JRTCKXETXF","26AU6AK4HHR4C4ET.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000054167 per GB-hour ($0.0013 per GB-day) for data storage warm tier in Asia Pacific (Singapore)","2025-07-01","0","Inf","GB-Hours","0.0000541700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise Storage Warm","APS1-AWSIoTSiteWise-StorageWarm","","ap-southeast-1","AWS IoT SiteWise"
|
| 4 |
"2AVCZDB8EC49UFCY","JRTCKXETXF","2AVCZDB8EC49UFCY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in EU (Ireland)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Monitor","EU-AWSIoTSiteWise-MonitorUsers","","eu-west-1","AWS IoT SiteWise"
|
| 5 |
"2DW5YMRS8Y384V22","JRTCKXETXF","2DW5YMRS8Y384V22.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per GB scanned in AWS GovCloud (US)","2025-07-01","0","Inf","GB","0.2400000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise DataScanned","UGW1-AWSIoTSiteWise-Query","","us-gov-west-1","AWS IoT SiteWise"
|
| 6 |
+
"2G4GWXFHAGU7A9P5","JRTCKXETXF","2G4GWXFHAGU7A9P5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.004166667 per Minutes for EU-AWSIoTSiteWise-AnomalyTraining in EU (Ireland)","2025-07-01","0","Inf","Minutes","0.0041666670","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Anomaly Detection Training","EU-AWSIoTSiteWise-AnomalyTraining","AnomalyDetection","eu-west-1","AWS IoT SiteWise"
|
| 7 |
"2RATKTPQCKRF5PJ2","JRTCKXETXF","2RATKTPQCKRF5PJ2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.3 per million messages for messaging in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Messages","0.0000013000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Tokyo)","AWS Region","AWS IoT SiteWise Messaging","APN1-AWSIoTSiteWise-Messaging","","ap-northeast-1","AWS IoT SiteWise"
|
| 8 |
"2SKYJJY76XC98RDZ","JRTCKXETXF","2SKYJJY76XC98RDZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.2 per million messages for messaging in EU (Frankfurt)","2025-07-01","0","Inf","Messages","0.0000012000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Frankfurt)","AWS Region","AWS IoT SiteWise Messaging","EUC1-AWSIoTSiteWise-Messaging","","eu-central-1","AWS IoT SiteWise"
|
| 9 |
"33VHWPRVSH8285NB","JRTCKXETXF","33VHWPRVSH8285NB.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 120.0 per 5,000 API Calls for AWS IoT SiteWise Assistant - us-west-2","2025-07-01","0","Inf","API Calls","0.0240000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US West (Oregon)","AWS Region","AWS IoT SiteWise Assistant API","USW2-AWSIoTSiteWise-Assistant-API-Base","InvokeAssistant","us-west-2","AWS IoT SiteWise"
|
|
|
|
| 15 |
"5JVQBU4JTGBENZ2A","JRTCKXETXF","5JVQBU4JTGBENZ2A.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000054167 per GB-hour ($0.0013 per GB-day) for data storage warm tier in Asia Pacific (Seoul)","2025-07-01","0","Inf","GB-Hours","0.0000541700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Storage Warm","APN2-AWSIoTSiteWise-StorageWarm","","ap-northeast-2","AWS IoT SiteWise"
|
| 16 |
"5QWJ9C9EHHFSTDZJ","JRTCKXETXF","5QWJ9C9EHHFSTDZJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in Asia Pacific (Sydney)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Edge","APS2-AWSIoTSiteWise-Edge-Data-Processing","","ap-southeast-2","AWS IoT SiteWise"
|
| 17 |
"6CMDQWUC425SM25Z","JRTCKXETXF","6CMDQWUC425SM25Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.6 per million computations for data processing in AWS GovCloud (US)","2025-07-01","0","Inf","Computations","0.0000006000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise Computations","UGW1-AWSIoTSiteWise-Computations","","us-gov-west-1","AWS IoT SiteWise"
|
| 18 |
+
"6REPV87J6MZUR8VE","JRTCKXETXF","6REPV87J6MZUR8VE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.15 per Hours for APS2-AWSIoTSiteWise-Anomaly-Inference-High in Asia Pacific (Sydney)","2025-07-01","0","Inf","Hours","0.1500000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Anomaly Detection Inference High","APS2-AWSIoTSiteWise-Anomaly-Inference-High","Inference-High","ap-southeast-2","AWS IoT SiteWise"
|
| 19 |
"6SGMBWP6RZG3E667","JRTCKXETXF","6SGMBWP6RZG3E667.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.65 per million computations for data processing in Asia Pacific (Seoul)","2025-07-01","0","Inf","Computations","0.0000006500","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Computations","APN2-AWSIoTSiteWise-Computations","","ap-northeast-2","AWS IoT SiteWise"
|
| 20 |
"7MD3N5YGFF3292NA","JRTCKXETXF","7MD3N5YGFF3292NA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in Asia Pacific (Singapore)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise Edge","APS1-AWSIoTSiteWise-Edge-Data-Processing","","ap-southeast-1","AWS IoT SiteWise"
|
| 21 |
"8NYJQNFZRSNSQTH8","JRTCKXETXF","8NYJQNFZRSNSQTH8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00041667 per GB-hour ($0.01 per GB-day) for data storage in US East (Ohio)","2025-07-01","0","Inf","GB-Hours","0.0004170000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Storage","USE2-AWSIoTSiteWise-Storage","","us-east-2","AWS IoT SiteWise"
|
| 22 |
"8TU6MV48WW27VBFF","JRTCKXETXF","8TU6MV48WW27VBFF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.2 per million messages for messaging in AWS GovCloud (US)","2025-07-01","0","Inf","Messages","0.0000012000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise Messaging","UGW1-AWSIoTSiteWise-Messaging","","us-gov-west-1","AWS IoT SiteWise"
|
| 23 |
"8UDS7ZNFJJTCTV35","JRTCKXETXF","8UDS7ZNFJJTCTV35.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 120.0 per 5,000 API Calls for AWS IoT SiteWise Assistant - eu-west-1","2025-07-01","0","Inf","API Calls","0.0240000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Assistant API","EU-AWSIoTSiteWise-Assistant-API-Base","InvokeAssistant","eu-west-1","AWS IoT SiteWise"
|
| 24 |
+
"9E7CDZX7CWK85S4F","JRTCKXETXF","9E7CDZX7CWK85S4F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.004166667 per Minutes for APS2-AWSIoTSiteWise-AnomalyTraining in Asia Pacific (Sydney)","2025-07-01","0","Inf","Minutes","0.0041666670","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Anomaly Detection Training","APS2-AWSIoTSiteWise-AnomalyTraining","AnomalyDetection","ap-southeast-2","AWS IoT SiteWise"
|
| 25 |
"9RZS7677VS9XS73P","JRTCKXETXF","9RZS7677VS9XS73P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per thousand objects for data export in US East (Ohio)","2025-07-01","0","Inf","Objects","0.0000050000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Data Export","USE2-AWSIoTSiteWise-DataExport","","us-east-2","AWS IoT SiteWise"
|
| 26 |
"ASPWCMQDTJY87RZ2","JRTCKXETXF","ASPWCMQDTJY87RZ2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.0 per million messages for messaging in US East (N. Virginia)","2025-07-01","0","Inf","Messages","0.0000010000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Messaging","USE1-AWSIoTSiteWise-Messaging","","us-east-1","AWS IoT SiteWise"
|
| 27 |
"AXD6ZBBACFX32DYJ","JRTCKXETXF","AXD6ZBBACFX32DYJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.6 per million computations for data processing in EU (Ireland)","2025-07-01","0","Inf","Computations","0.0000006000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Computations","EU-AWSIoTSiteWise-Computations","","eu-west-1","AWS IoT SiteWise"
|
|
|
|
| 37 |
"EWQRRW2A9NASAX8M","JRTCKXETXF","EWQRRW2A9NASAX8M.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in US East (N. Virginia)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Edge","USE1-AWSIoTSiteWise-Edge-Data-Processing","","us-east-1","AWS IoT SiteWise"
|
| 38 |
"EWTBU74BH5SFXEYH","JRTCKXETXF","EWTBU74BH5SFXEYH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00054167 per GB-hour ($0.013 per GB-day) for data storage in Asia Pacific (Tokyo)","2025-07-01","0","Inf","GB-Hours","0.0005416700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Tokyo)","AWS Region","AWS IoT SiteWise Storage","APN1-AWSIoTSiteWise-Storage","","ap-northeast-1","AWS IoT SiteWise"
|
| 39 |
"EX4AJB3WA3G88HE6","JRTCKXETXF","EX4AJB3WA3G88HE6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.65 per million computations for data processing in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Computations","0.0000006500","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Mumbai)","AWS Region","AWS IoT SiteWise Computations","APS3-AWSIoTSiteWise-Computations","","ap-south-1","AWS IoT SiteWise"
|
| 40 |
+
"F4F66JSUHPV7UW4P","JRTCKXETXF","F4F66JSUHPV7UW4P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.15 per API Calls for USE1-AWSIoTSiteWise-Anomaly-Inference-Low in US East (N. Virginia)","2025-07-01","0","Inf","API Calls","0.1500000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Anomaly Detection Inference Low","USE1-AWSIoTSiteWise-Anomaly-Inference-Low","Inference-Low","us-east-1","AWS IoT SiteWise"
|
| 41 |
"FEEWSHP7CR7Z9EAU","JRTCKXETXF","FEEWSHP7CR7Z9EAU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per GB scanned in Asia Pacific (Sydney)","2025-07-01","0","Inf","GB","0.2400000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise DataScanned","APS2-AWSIoTSiteWise-Query","","ap-southeast-2","AWS IoT SiteWise"
|
| 42 |
"FYPS6WPS6R5EA8K6","JRTCKXETXF","FYPS6WPS6R5EA8K6.JRTCKXETXF.8EEUB22XNJ","OnDemand","USD 120.0 per month enablement fee for AWS IoT SiteWise Assistant - ap-southeast-2","2025-07-01","0","1","Monthly Fee","120.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Assistant","APS2-AWSIoTSiteWise-Assistant-Fee","InvokeAssistant","ap-southeast-2","AWS IoT SiteWise"
|
| 43 |
"FYPS6WPS6R5EA8K6","JRTCKXETXF","FYPS6WPS6R5EA8K6.JRTCKXETXF.JTU8TKNAMW","OnDemand","USD 120.0 per month enablement fee for AWS IoT SiteWise Assistant - ap-southeast-2","2025-07-01","1","Inf","Monthly Fee","0.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Assistant","APS2-AWSIoTSiteWise-Assistant-Fee","InvokeAssistant","ap-southeast-2","AWS IoT SiteWise"
|
| 44 |
"G57JPAMH9VAA9KY5","JRTCKXETXF","G57JPAMH9VAA9KY5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00005 per GB-hour ($0.0012 per GB-day) for data storage warm tier in Asia Pacific (Sydney)","2025-07-01","0","Inf","GB-Hours","0.0000500000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Storage Warm","APS2-AWSIoTSiteWise-StorageWarm","","ap-southeast-2","AWS IoT SiteWise"
|
| 45 |
+
"GCXVUWG4WK94YE2R","JRTCKXETXF","GCXVUWG4WK94YE2R.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.15 per Hours for EU-AWSIoTSiteWise-Anomaly-Inference-High in EU (Ireland)","2025-07-01","0","Inf","Hours","0.1500000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Anomaly Detection Inference High","EU-AWSIoTSiteWise-Anomaly-Inference-High","Inference-High","eu-west-1","AWS IoT SiteWise"
|
| 46 |
"GEMJ2Q5EMWE8Q377","JRTCKXETXF","GEMJ2Q5EMWE8Q377.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in US East (Ohio)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Edge","USE2-AWSIoTSiteWise-Edge-Data-Processing","","us-east-2","AWS IoT SiteWise"
|
| 47 |
"GJATGRNUP66JEHXP","JRTCKXETXF","GJATGRNUP66JEHXP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per GB-hour ($0.012 per GB-day) for data storage in Asia Pacific (Sydney)","2025-07-01","0","Inf","GB-Hours","0.0005000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Storage","APS2-AWSIoTSiteWise-Storage","","ap-southeast-2","AWS IoT SiteWise"
|
| 48 |
"GQ7C6AF9DFXHANG7","JRTCKXETXF","GQ7C6AF9DFXHANG7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.0 per million messages for messaging in US East (Ohio)","2025-07-01","0","Inf","Messages","0.0000010000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Messaging","USE2-AWSIoTSiteWise-Messaging","","us-east-2","AWS IoT SiteWise"
|
|
|
|
| 81 |
"RV549NMPCGD5X66C","JRTCKXETXF","RV549NMPCGD5X66C.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in US West (Oregon)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US West (Oregon)","AWS Region","AWS IoT SiteWise Monitor","USW2-AWSIoTSiteWise-MonitorUsers","","us-west-2","AWS IoT SiteWise"
|
| 82 |
"S8RKTZVA2XYN3GCT","JRTCKXETXF","S8RKTZVA2XYN3GCT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0065 per thousand objects for data export in Asia Pacific (Singapore)","2025-07-01","0","Inf","Objects","0.0000065000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise Data Export","APS1-AWSIoTSiteWise-DataExport","","ap-southeast-1","AWS IoT SiteWise"
|
| 83 |
"SVC9WQ6W63GT4R9F","JRTCKXETXF","SVC9WQ6W63GT4R9F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in Asia Pacific (Seoul)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Edge","APN2-AWSIoTSiteWise-Edge-Data-Processing","","ap-northeast-2","AWS IoT SiteWise"
|
| 84 |
+
"SXNKAHRQA9YBRAZV","JRTCKXETXF","SXNKAHRQA9YBRAZV.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.15 per API Calls for EU-AWSIoTSiteWise-Anomaly-Inference-Low in EU (Ireland)","2025-07-01","0","Inf","API Calls","0.1500000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Anomaly Detection Inference Low","EU-AWSIoTSiteWise-Anomaly-Inference-Low","Inference-Low","eu-west-1","AWS IoT SiteWise"
|
| 85 |
"SZBTCKYRYWS589SP","JRTCKXETXF","SZBTCKYRYWS589SP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00005 per GB-hour ($0.0012 per GB-day) for data storage warm tier in AWS GovCloud (US)","2025-07-01","0","Inf","GB-Hours","0.0000500000","USD","AWSIoTSiteWise","AWSIoTSiteWise","AWS GovCloud (US-West)","AWS Region","AWS IoT SiteWise Storage Warm","UGW1-AWSIoTSiteWise-StorageWarm","","us-gov-west-1","AWS IoT SiteWise"
|
| 86 |
"TBKMJZEYAF8W52K4","JRTCKXETXF","TBKMJZEYAF8W52K4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in US East (Ohio)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (Ohio)","AWS Region","AWS IoT SiteWise Monitor","USE2-AWSIoTSiteWise-MonitorUsers","","us-east-2","AWS IoT SiteWise"
|
| 87 |
"TD59DANSHJZHP2SK","JRTCKXETXF","TD59DANSHJZHP2SK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0065 per thousand objects for data export in Asia Pacific (Seoul)","2025-07-01","0","Inf","Objects","0.0000065000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Data Export","APN2-AWSIoTSiteWise-DataExport","","ap-northeast-2","AWS IoT SiteWise"
|
| 88 |
"TTPSM3HNYFUH5N75","JRTCKXETXF","TTPSM3HNYFUH5N75.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD 120.0 per 5,000 API Calls for AWS IoT SiteWise Assistant - us-east-1","2025-07-01","0","Inf","API Calls","0.0240000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Assistant API","USE1-AWSIoTSiteWise-Assistant-API-Base","InvokeAssistant","us-east-1","AWS IoT SiteWise"
|
| 89 |
+
"TZDRCUVKYWTQ5QV4","JRTCKXETXF","TZDRCUVKYWTQ5QV4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.15 per Hours for USE1-AWSIoTSiteWise-Anomaly-Inference-High in US East (N. Virginia)","2025-07-01","0","Inf","Hours","0.1500000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Anomaly Detection Inference High","USE1-AWSIoTSiteWise-Anomaly-Inference-High","Inference-High","us-east-1","AWS IoT SiteWise"
|
| 90 |
"UAS4CW6CM35G9K4Y","JRTCKXETXF","UAS4CW6CM35G9K4Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","$200 per pack in EU (Ireland)","2025-07-01","0","Inf","Pack","200.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise Edge","EU-AWSIoTSiteWise-Edge-Data-Processing","","eu-west-1","AWS IoT SiteWise"
|
| 91 |
+
"UP7DJPW5438APZXX","JRTCKXETXF","UP7DJPW5438APZXX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.15 per API Calls for APS2-AWSIoTSiteWise-Anomaly-Inference-Low in Asia Pacific (Sydney)","2025-07-01","0","Inf","API Calls","0.1500000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Sydney)","AWS Region","AWS IoT SiteWise Anomaly Detection Inference Low","APS2-AWSIoTSiteWise-Anomaly-Inference-Low","Inference-Low","ap-southeast-2","AWS IoT SiteWise"
|
| 92 |
"UVMZA2MASHMCF798","JRTCKXETXF","UVMZA2MASHMCF798.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in Canada (Central)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Canada (Central)","AWS Region","AWS IoT SiteWise Monitor","CAN1-AWSIoTSiteWise-MonitorUsers","","ca-central-1","AWS IoT SiteWise"
|
| 93 |
"UZ6VUM2NRUGCJKCC","JRTCKXETXF","UZ6VUM2NRUGCJKCC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.3 per million messages for messaging in Asia Pacific (Seoul)","2025-07-01","0","Inf","Messages","0.0000013000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Seoul)","AWS Region","AWS IoT SiteWise Messaging","APN2-AWSIoTSiteWise-Messaging","","ap-northeast-2","AWS IoT SiteWise"
|
| 94 |
"UZA75S5ASHD8VAWJ","JRTCKXETXF","UZA75S5ASHD8VAWJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00041667 per GB-hour ($0.01 per GB-day) for data storage in Canada (Central)","2025-07-01","0","Inf","GB-Hours","0.0004170000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Canada (Central)","AWS Region","AWS IoT SiteWise Storage","CAN1-AWSIoTSiteWise-Storage","","ca-central-1","AWS IoT SiteWise"
|
| 95 |
"VU78S4T5N8KNM7D6","JRTCKXETXF","VU78S4T5N8KNM7D6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$10.0 per unique active user per month for SiteWise Monitor in US East (N. Virginia)","2025-07-01","0","Inf","Users","10.0000000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Monitor","USE1-AWSIoTSiteWise-MonitorUsers","","us-east-1","AWS IoT SiteWise"
|
| 96 |
"VVG4U968CHMBXVMR","JRTCKXETXF","VVG4U968CHMBXVMR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000054167 per GB-hour ($0.0013 per GB-day) for data storage warm tier in Asia Pacific (Tokyo)","2025-07-01","0","Inf","GB-Hours","0.0000541700","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Tokyo)","AWS Region","AWS IoT SiteWise Storage Warm","APN1-AWSIoTSiteWise-StorageWarm","","ap-northeast-1","AWS IoT SiteWise"
|
| 97 |
"WUM7V3H9B6Z5WAYN","JRTCKXETXF","WUM7V3H9B6Z5WAYN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.0 per million messages for messaging in US West (Oregon)","2025-07-01","0","Inf","Messages","0.0000010000","USD","AWSIoTSiteWise","AWSIoTSiteWise","US West (Oregon)","AWS Region","AWS IoT SiteWise Messaging","USW2-AWSIoTSiteWise-Messaging","","us-west-2","AWS IoT SiteWise"
|
| 98 |
+
"WWSHB6WMDDA2UZ6A","JRTCKXETXF","WWSHB6WMDDA2UZ6A.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.004166667 per Minutes for USE1-AWSIoTSiteWise-AnomalyTraining in US East (N. Virginia)","2025-07-01","0","Inf","Minutes","0.0041666670","USD","AWSIoTSiteWise","AWSIoTSiteWise","US East (N. Virginia)","AWS Region","AWS IoT SiteWise Anomaly Detection Training","USE1-AWSIoTSiteWise-AnomalyTraining","AnomalyDetection","us-east-1","AWS IoT SiteWise"
|
| 99 |
"XAJ98FDYPAVEX9C3","JRTCKXETXF","XAJ98FDYPAVEX9C3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.24 per GB scanned in EU (Ireland)","2025-07-01","0","Inf","GB","0.2400000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Ireland)","AWS Region","AWS IoT SiteWise DataScanned","EU-AWSIoTSiteWise-Query","","eu-west-1","AWS IoT SiteWise"
|
| 100 |
"XDA8MEV4NHY4QHA6","JRTCKXETXF","XDA8MEV4NHY4QHA6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00005 per GB-hour ($0.0012 per GB-day) for data storage warm tier in EU (Frankfurt)","2025-07-01","0","Inf","GB-Hours","0.0000500000","USD","AWSIoTSiteWise","AWSIoTSiteWise","EU (Frankfurt)","AWS Region","AWS IoT SiteWise Storage Warm","EUC1-AWSIoTSiteWise-StorageWarm","","eu-central-1","AWS IoT SiteWise"
|
| 101 |
"XMD5GV57W3YRXKX7","JRTCKXETXF","XMD5GV57W3YRXKX7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.26 per GB scanned in Asia Pacific (Singapore)","2025-07-01","0","Inf","GB","0.2600000000","USD","AWSIoTSiteWise","AWSIoTSiteWise","Asia Pacific (Singapore)","AWS Region","AWS IoT SiteWise DataScanned","APS1-AWSIoTSiteWise-Query","","ap-southeast-1","AWS IoT SiteWise"
|
AWSNetworkFirewall.csv
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Region Code","serviceName","subcategory"
|
| 2 |
"254XCDXGSMV3WVXC","JRTCKXETXF","254XCDXGSMV3WVXC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Paris)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Paris)","AWS Region","EUW3-Endpoint-Hour","Operation:Metering","eu-west-3","AWS Network Firewall","Endpoint"
|
| 3 |
"2BVHZKAKCVSSPNE9","JRTCKXETXF","2BVHZKAKCVSSPNE9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.078 per GB processed by AWS Network Firewall in AWS GovCloud (US-West)","2025-07-01","0","Inf","GB","0.0780000000","USD","AWS Firewall","AWSNetworkFirewall","AWS GovCloud (US-West)","AWS Region","UGW1-Traffic-GB-Processed","Operation:NormalUsage","us-gov-west-1","AWS Network Firewall","Throughput"
|
|
|
|
| 4 |
"2ETBDXBV4JRMW7BX","JRTCKXETXF","2ETBDXBV4JRMW7BX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.0 per GB for Advanced-Inspection-Traffic-GB-Processed:Operation:NormalUsage in Canada West (Calgary)","2025-07-01","0","Inf","GB","0.0000000000","USD","AWS Firewall","AWSNetworkFirewall","Canada West (Calgary)","AWS Region","CAN2-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","ca-west-1","AWS Network Firewall","Throughput-Advanced"
|
| 5 |
"2K9M7JTRVU24SXFM","JRTCKXETXF","2K9M7JTRVU24SXFM.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.705 per Hourly for Endpoint-Hour:Operation:Metering in Canada West (Calgary)","2025-07-01","0","Inf","Hourly","0.7050000000","USD","AWS Firewall","AWSNetworkFirewall","Canada West (Calgary)","AWS Region","CAN2-Endpoint-Hour","Operation:Metering","ca-west-1","AWS Network Firewall","Endpoint"
|
| 6 |
"2ND7SZP26P2VH2DA","JRTCKXETXF","2ND7SZP26P2VH2DA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for APN1-Advanced-Threat-Protection-Traffic-GB-Processed in Asia Pacific (Tokyo)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Tokyo)","AWS Region","APN1-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","ap-northeast-1","AWS Network Firewall","Throughput-Advanced"
|
|
@@ -102,6 +103,7 @@
|
|
| 102 |
"G8VM4N5WSFUYYNCW","JRTCKXETXF","G8VM4N5WSFUYYNCW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.38 per Hourly for Advanced-Inspection-Endpoint-Hour:Operation:Metering in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Hyderabad)","AWS Region","APS5-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-south-2","AWS Network Firewall","Endpoint-Advanced"
|
| 103 |
"GHW4Z2ZAMQDZW23X","JRTCKXETXF","GHW4Z2ZAMQDZW23X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Milan)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Milan)","AWS Region","EUS1-Endpoint-Hour","Operation:Metering","eu-south-1","AWS Network Firewall","Endpoint"
|
| 104 |
"GX2FKXFZXPXCDS2W","JRTCKXETXF","GX2FKXFZXPXCDS2W.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.065 per GB processed by AWS Network Firewall in US West (Oregon)","2025-07-01","0","Inf","GB","0.0650000000","USD","AWS Firewall","AWSNetworkFirewall","US West (Oregon)","AWS Region","USW2-Traffic-GB-Processed","Operation:NormalUsage","us-west-2","AWS Network Firewall","Throughput"
|
|
|
|
| 105 |
"H24FZBG8VRNFR2QS","JRTCKXETXF","H24FZBG8VRNFR2QS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.380 per endpoint hour for Advanced Inspection Endpoint Hour in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Mumbai)","AWS Region","APS3-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-south-1","AWS Network Firewall","Endpoint-Advanced"
|
| 106 |
"H8ZD82T9JN5WTP4T","JRTCKXETXF","H8ZD82T9JN5WTP4T.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.511 per endpoint hour for Advanced Inspection Endpoint Hour in EU (Stockholm)","2025-07-01","0","Inf","Hourly","0.5110000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Stockholm)","AWS Region","EUN1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","eu-north-1","AWS Network Firewall","Endpoint-Advanced"
|
| 107 |
"HANDG4QVMZC2NMJY","JRTCKXETXF","HANDG4QVMZC2NMJY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in US East (N. Virginia)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","US East (N. Virginia)","AWS Region","USE1-Endpoint-Hour","Operation:Metering","us-east-1","AWS Network Firewall","Endpoint"
|
|
@@ -109,6 +111,7 @@
|
|
| 109 |
"HQTN3ZD7HNNFJA2Z","JRTCKXETXF","HQTN3ZD7HNNFJA2Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.065 per GB for Traffic-GB-Processed:Operation:NormalUsage in Canada West (Calgary)","2025-07-01","0","Inf","GB","0.0650000000","USD","AWS Firewall","AWSNetworkFirewall","Canada West (Calgary)","AWS Region","CAN2-Traffic-GB-Processed","Operation:NormalUsage","ca-west-1","AWS Network Firewall","Throughput"
|
| 110 |
"HWQ84HZPMU2NXY75","JRTCKXETXF","HWQ84HZPMU2NXY75.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.380 per endpoint hour for Advanced Inspection Endpoint Hour in Middle East (Bahrain)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Middle East (Bahrain)","AWS Region","MES1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","me-south-1","AWS Network Firewall","Endpoint-Advanced"
|
| 111 |
"JAAFGN7D7MN7C2PC","JRTCKXETXF","JAAFGN7D7MN7C2PC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Spain)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","Europe (Spain)","AWS Region","EUS2-Endpoint-Hour","Operation:Metering","eu-south-2","AWS Network Firewall","Endpoint"
|
|
|
|
| 112 |
"JHNTUTWKR9BFBEVH","JRTCKXETXF","JHNTUTWKR9BFBEVH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for USE1-Advanced-Threat-Protection-Traffic-GB-Processed in US East (N. Virginia)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","US East (N. Virginia)","AWS Region","USE1-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","us-east-1","AWS Network Firewall","Throughput-Advanced"
|
| 113 |
"JKYYHCAFQRMT6KUT","JRTCKXETXF","JKYYHCAFQRMT6KUT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB processed for Advanced Inspection Traffic GB Processed in US West (N. California)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","US West (N. California)","AWS Region","USW1-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","us-west-1","AWS Network Firewall","Throughput-Advanced"
|
| 114 |
"JPT5FMT6V4PG3VQX","JRTCKXETXF","JPT5FMT6V4PG3VQX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Osaka)","AWS Region","APN3-Endpoint-Hour","Operation:Metering","ap-northeast-3","AWS Network Firewall","Endpoint"
|
|
@@ -176,10 +179,13 @@
|
|
| 176 |
"UJR6GAUCJHZFEKPK","JRTCKXETXF","UJR6GAUCJHZFEKPK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.095 per endpoint hour for Advanced Inspection Endpoint Hour in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hourly","1.0950000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Tokyo)","AWS Region","APN1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-northeast-1","AWS Network Firewall","Endpoint-Advanced"
|
| 177 |
"USJR8FFUHSDMYJEU","JRTCKXETXF","USJR8FFUHSDMYJEU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for APN3-Advanced-Threat-Protection-Traffic-GB-Processed in Asia Pacific (Osaka)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Osaka)","AWS Region","APN3-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","ap-northeast-3","AWS Network Firewall","Throughput-Advanced"
|
| 178 |
"UXY8P3Z53GARUATE","JRTCKXETXF","UXY8P3Z53GARUATE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Stockholm)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Stockholm)","AWS Region","EUN1-Endpoint-Hour","Operation:Metering","eu-north-1","AWS Network Firewall","Endpoint"
|
|
|
|
| 179 |
"V9MNVNZH48HU22V5","JRTCKXETXF","V9MNVNZH48HU22V5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.36 per Hourly for Advanced-Inspection-Endpoint-Hour:Operation:Metering in Israel (Tel Aviv)","2025-07-01","0","Inf","Hourly","0.3600000000","USD","AWS Firewall","AWSNetworkFirewall","Israel (Tel Aviv)","AWS Region","ILC1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","il-central-1","AWS Network Firewall","Endpoint-Advanced"
|
|
|
|
| 180 |
"VMYHJJHQX9MR5ZJZ","JRTCKXETXF","VMYHJJHQX9MR5ZJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.158 per secondary endpoint hour for AWS Network Firewall in US East (N. Virginia)","2025-07-01","0","Inf","Hourly","0.1580000000","USD","AWS Firewall","AWSNetworkFirewall","US East (N. Virginia)","AWS Region","USE1-Secondary-Endpoint-Hour","Operation:Metering","us-east-1","AWS Network Firewall","Endpoint-Secondary"
|
| 181 |
"VRS9FNQQD27T8R9X","JRTCKXETXF","VRS9FNQQD27T8R9X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.380 per endpoint hour for Advanced Inspection Endpoint Hour in Africa (Cape Town)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Africa (Cape Town)","AWS Region","AFS1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","af-south-1","AWS Network Firewall","Endpoint-Advanced"
|
| 182 |
"VXK3WHW9R83XDJHT","JRTCKXETXF","VXK3WHW9R83XDJHT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.158 per secondary endpoint hour for AWS Network Firewall in Canada (Central)","2025-07-01","0","Inf","Hourly","0.1580000000","USD","AWS Firewall","AWSNetworkFirewall","Canada (Central)","AWS Region","CAN1-Secondary-Endpoint-Hour","Operation:Metering","ca-central-1","AWS Network Firewall","Endpoint-Secondary"
|
|
|
|
| 183 |
"W2CQ2AMYY8UCMSTM","JRTCKXETXF","W2CQ2AMYY8UCMSTM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in US West (N. California)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","US West (N. California)","AWS Region","USW1-Endpoint-Hour","Operation:Metering","us-west-1","AWS Network Firewall","Endpoint"
|
| 184 |
"W6XZ839QYAXH2YA5","JRTCKXETXF","W6XZ839QYAXH2YA5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0 per GB processed for Advanced Inspection Traffic GB Processed in AWS GovCloud (US-West)","2025-07-01","0","Inf","GB","0.0000000000","USD","AWS Firewall","AWSNetworkFirewall","AWS GovCloud (US-West)","AWS Region","UGW1-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","us-gov-west-1","AWS Network Firewall","Throughput-Advanced"
|
| 185 |
"WBUQXUZFRHWC67BY","JRTCKXETXF","WBUQXUZFRHWC67BY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.158 per secondary endpoint hour for AWS Network Firewall in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hourly","0.1580000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Mumbai)","AWS Region","APS3-Secondary-Endpoint-Hour","Operation:Metering","ap-south-1","AWS Network Firewall","Endpoint-Secondary"
|
|
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Region Code","serviceName","subcategory"
|
| 2 |
"254XCDXGSMV3WVXC","JRTCKXETXF","254XCDXGSMV3WVXC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Paris)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Paris)","AWS Region","EUW3-Endpoint-Hour","Operation:Metering","eu-west-3","AWS Network Firewall","Endpoint"
|
| 3 |
"2BVHZKAKCVSSPNE9","JRTCKXETXF","2BVHZKAKCVSSPNE9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.078 per GB processed by AWS Network Firewall in AWS GovCloud (US-West)","2025-07-01","0","Inf","GB","0.0780000000","USD","AWS Firewall","AWSNetworkFirewall","AWS GovCloud (US-West)","AWS Region","UGW1-Traffic-GB-Processed","Operation:NormalUsage","us-gov-west-1","AWS Network Firewall","Throughput"
|
| 4 |
+
"2CWRESM2NM9XAZ6F","JRTCKXETXF","2CWRESM2NM9XAZ6F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.66 per endpoint hour for AWS Network Firewall in Asia Pacific (Taipei)","2025-07-01","0","Inf","Hourly","0.6600000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Taipei)","AWS Region","APE2-Endpoint-Hour","Operation:Metering","ap-east-2","AWS Network Firewall","Endpoint"
|
| 5 |
"2ETBDXBV4JRMW7BX","JRTCKXETXF","2ETBDXBV4JRMW7BX.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.0 per GB for Advanced-Inspection-Traffic-GB-Processed:Operation:NormalUsage in Canada West (Calgary)","2025-07-01","0","Inf","GB","0.0000000000","USD","AWS Firewall","AWSNetworkFirewall","Canada West (Calgary)","AWS Region","CAN2-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","ca-west-1","AWS Network Firewall","Throughput-Advanced"
|
| 6 |
"2K9M7JTRVU24SXFM","JRTCKXETXF","2K9M7JTRVU24SXFM.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.705 per Hourly for Endpoint-Hour:Operation:Metering in Canada West (Calgary)","2025-07-01","0","Inf","Hourly","0.7050000000","USD","AWS Firewall","AWSNetworkFirewall","Canada West (Calgary)","AWS Region","CAN2-Endpoint-Hour","Operation:Metering","ca-west-1","AWS Network Firewall","Endpoint"
|
| 7 |
"2ND7SZP26P2VH2DA","JRTCKXETXF","2ND7SZP26P2VH2DA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for APN1-Advanced-Threat-Protection-Traffic-GB-Processed in Asia Pacific (Tokyo)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Tokyo)","AWS Region","APN1-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","ap-northeast-1","AWS Network Firewall","Throughput-Advanced"
|
|
|
|
| 103 |
"G8VM4N5WSFUYYNCW","JRTCKXETXF","G8VM4N5WSFUYYNCW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.38 per Hourly for Advanced-Inspection-Endpoint-Hour:Operation:Metering in Asia Pacific (Hyderabad)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Hyderabad)","AWS Region","APS5-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-south-2","AWS Network Firewall","Endpoint-Advanced"
|
| 104 |
"GHW4Z2ZAMQDZW23X","JRTCKXETXF","GHW4Z2ZAMQDZW23X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Milan)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Milan)","AWS Region","EUS1-Endpoint-Hour","Operation:Metering","eu-south-1","AWS Network Firewall","Endpoint"
|
| 105 |
"GX2FKXFZXPXCDS2W","JRTCKXETXF","GX2FKXFZXPXCDS2W.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.065 per GB processed by AWS Network Firewall in US West (Oregon)","2025-07-01","0","Inf","GB","0.0650000000","USD","AWS Firewall","AWSNetworkFirewall","US West (Oregon)","AWS Region","USW2-Traffic-GB-Processed","Operation:NormalUsage","us-west-2","AWS Network Firewall","Throughput"
|
| 106 |
+
"GYRK4P9RAA8E6WZC","JRTCKXETXF","GYRK4P9RAA8E6WZC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for APE2-Advanced-Threat-Protection-Traffic-GB-Processed in Asia Pacific (Taipei)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Taipei)","AWS Region","APE2-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","ap-east-2","AWS Network Firewall","Throughput-Advanced"
|
| 107 |
"H24FZBG8VRNFR2QS","JRTCKXETXF","H24FZBG8VRNFR2QS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.380 per endpoint hour for Advanced Inspection Endpoint Hour in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Mumbai)","AWS Region","APS3-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-south-1","AWS Network Firewall","Endpoint-Advanced"
|
| 108 |
"H8ZD82T9JN5WTP4T","JRTCKXETXF","H8ZD82T9JN5WTP4T.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.511 per endpoint hour for Advanced Inspection Endpoint Hour in EU (Stockholm)","2025-07-01","0","Inf","Hourly","0.5110000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Stockholm)","AWS Region","EUN1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","eu-north-1","AWS Network Firewall","Endpoint-Advanced"
|
| 109 |
"HANDG4QVMZC2NMJY","JRTCKXETXF","HANDG4QVMZC2NMJY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in US East (N. Virginia)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","US East (N. Virginia)","AWS Region","USE1-Endpoint-Hour","Operation:Metering","us-east-1","AWS Network Firewall","Endpoint"
|
|
|
|
| 111 |
"HQTN3ZD7HNNFJA2Z","JRTCKXETXF","HQTN3ZD7HNNFJA2Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.065 per GB for Traffic-GB-Processed:Operation:NormalUsage in Canada West (Calgary)","2025-07-01","0","Inf","GB","0.0650000000","USD","AWS Firewall","AWSNetworkFirewall","Canada West (Calgary)","AWS Region","CAN2-Traffic-GB-Processed","Operation:NormalUsage","ca-west-1","AWS Network Firewall","Throughput"
|
| 112 |
"HWQ84HZPMU2NXY75","JRTCKXETXF","HWQ84HZPMU2NXY75.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.380 per endpoint hour for Advanced Inspection Endpoint Hour in Middle East (Bahrain)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Middle East (Bahrain)","AWS Region","MES1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","me-south-1","AWS Network Firewall","Endpoint-Advanced"
|
| 113 |
"JAAFGN7D7MN7C2PC","JRTCKXETXF","JAAFGN7D7MN7C2PC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Spain)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","Europe (Spain)","AWS Region","EUS2-Endpoint-Hour","Operation:Metering","eu-south-2","AWS Network Firewall","Endpoint"
|
| 114 |
+
"JDNDDY46P26YXZNQ","JRTCKXETXF","JDNDDY46P26YXZNQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per GB processed for Advanced Inspection Traffic GB Processed in Asia Pacific (Taipei)","2025-07-01","0","Inf","GB","0.0000000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Taipei)","AWS Region","APE2-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","ap-east-2","AWS Network Firewall","Throughput-Advanced"
|
| 115 |
"JHNTUTWKR9BFBEVH","JRTCKXETXF","JHNTUTWKR9BFBEVH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for USE1-Advanced-Threat-Protection-Traffic-GB-Processed in US East (N. Virginia)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","US East (N. Virginia)","AWS Region","USE1-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","us-east-1","AWS Network Firewall","Throughput-Advanced"
|
| 116 |
"JKYYHCAFQRMT6KUT","JRTCKXETXF","JKYYHCAFQRMT6KUT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB processed for Advanced Inspection Traffic GB Processed in US West (N. California)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","US West (N. California)","AWS Region","USW1-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","us-west-1","AWS Network Firewall","Throughput-Advanced"
|
| 117 |
"JPT5FMT6V4PG3VQX","JRTCKXETXF","JPT5FMT6V4PG3VQX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in Asia Pacific (Osaka)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Osaka)","AWS Region","APN3-Endpoint-Hour","Operation:Metering","ap-northeast-3","AWS Network Firewall","Endpoint"
|
|
|
|
| 179 |
"UJR6GAUCJHZFEKPK","JRTCKXETXF","UJR6GAUCJHZFEKPK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.095 per endpoint hour for Advanced Inspection Endpoint Hour in Asia Pacific (Tokyo)","2025-07-01","0","Inf","Hourly","1.0950000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Tokyo)","AWS Region","APN1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-northeast-1","AWS Network Firewall","Endpoint-Advanced"
|
| 180 |
"USJR8FFUHSDMYJEU","JRTCKXETXF","USJR8FFUHSDMYJEU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.005 per GB for APN3-Advanced-Threat-Protection-Traffic-GB-Processed in Asia Pacific (Osaka)","2025-07-01","0","Inf","GB","0.0050000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Osaka)","AWS Region","APN3-Advanced-Threat-Protection-Traffic-GB-Processed","Operation:NormalUsage","ap-northeast-3","AWS Network Firewall","Throughput-Advanced"
|
| 181 |
"UXY8P3Z53GARUATE","JRTCKXETXF","UXY8P3Z53GARUATE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in EU (Stockholm)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","EU (Stockholm)","AWS Region","EUN1-Endpoint-Hour","Operation:Metering","eu-north-1","AWS Network Firewall","Endpoint"
|
| 182 |
+
"V2RN3FTXNZPABEMR","JRTCKXETXF","V2RN3FTXNZPABEMR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.264 per secondary endpoint hour for AWS Network Firewall in Asia Pacific (Taipei)","2025-07-01","0","Inf","Hourly","0.2640000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Taipei)","AWS Region","APE2-Secondary-Endpoint-Hour","Operation:Metering","ap-east-2","AWS Network Firewall","Endpoint-Secondary"
|
| 183 |
"V9MNVNZH48HU22V5","JRTCKXETXF","V9MNVNZH48HU22V5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.36 per Hourly for Advanced-Inspection-Endpoint-Hour:Operation:Metering in Israel (Tel Aviv)","2025-07-01","0","Inf","Hourly","0.3600000000","USD","AWS Firewall","AWSNetworkFirewall","Israel (Tel Aviv)","AWS Region","ILC1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","il-central-1","AWS Network Firewall","Endpoint-Advanced"
|
| 184 |
+
"VEFEAAZX6VZAG7H6","JRTCKXETXF","VEFEAAZX6VZAG7H6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.065 per GB processed by AWS Network Firewall in Asia Pacific (Taipei)","2025-07-01","0","Inf","GB","0.0650000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Taipei)","AWS Region","APE2-Traffic-GB-Processed","Operation:NormalUsage","ap-east-2","AWS Network Firewall","Throughput"
|
| 185 |
"VMYHJJHQX9MR5ZJZ","JRTCKXETXF","VMYHJJHQX9MR5ZJZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.158 per secondary endpoint hour for AWS Network Firewall in US East (N. Virginia)","2025-07-01","0","Inf","Hourly","0.1580000000","USD","AWS Firewall","AWSNetworkFirewall","US East (N. Virginia)","AWS Region","USE1-Secondary-Endpoint-Hour","Operation:Metering","us-east-1","AWS Network Firewall","Endpoint-Secondary"
|
| 186 |
"VRS9FNQQD27T8R9X","JRTCKXETXF","VRS9FNQQD27T8R9X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.380 per endpoint hour for Advanced Inspection Endpoint Hour in Africa (Cape Town)","2025-07-01","0","Inf","Hourly","0.3800000000","USD","AWS Firewall","AWSNetworkFirewall","Africa (Cape Town)","AWS Region","AFS1-Advanced-Inspection-Endpoint-Hour","Operation:Metering","af-south-1","AWS Network Firewall","Endpoint-Advanced"
|
| 187 |
"VXK3WHW9R83XDJHT","JRTCKXETXF","VXK3WHW9R83XDJHT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.158 per secondary endpoint hour for AWS Network Firewall in Canada (Central)","2025-07-01","0","Inf","Hourly","0.1580000000","USD","AWS Firewall","AWSNetworkFirewall","Canada (Central)","AWS Region","CAN1-Secondary-Endpoint-Hour","Operation:Metering","ca-central-1","AWS Network Firewall","Endpoint-Secondary"
|
| 188 |
+
"VYG9D2RSAS6DFSEQ","JRTCKXETXF","VYG9D2RSAS6DFSEQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.64 per endpoint hour for Advanced Inspection Endpoint Hour in Asia Pacific (Taipei)","2025-07-01","0","Inf","Hourly","0.6400000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Taipei)","AWS Region","APE2-Advanced-Inspection-Endpoint-Hour","Operation:Metering","ap-east-2","AWS Network Firewall","Endpoint-Advanced"
|
| 189 |
"W2CQ2AMYY8UCMSTM","JRTCKXETXF","W2CQ2AMYY8UCMSTM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.395 per endpoint hour for AWS Network Firewall in US West (N. California)","2025-07-01","0","Inf","Hourly","0.3950000000","USD","AWS Firewall","AWSNetworkFirewall","US West (N. California)","AWS Region","USW1-Endpoint-Hour","Operation:Metering","us-west-1","AWS Network Firewall","Endpoint"
|
| 190 |
"W6XZ839QYAXH2YA5","JRTCKXETXF","W6XZ839QYAXH2YA5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0 per GB processed for Advanced Inspection Traffic GB Processed in AWS GovCloud (US-West)","2025-07-01","0","Inf","GB","0.0000000000","USD","AWS Firewall","AWSNetworkFirewall","AWS GovCloud (US-West)","AWS Region","UGW1-Advanced-Inspection-Traffic-GB-Processed","Operation:NormalUsage","us-gov-west-1","AWS Network Firewall","Throughput-Advanced"
|
| 191 |
"WBUQXUZFRHWC67BY","JRTCKXETXF","WBUQXUZFRHWC67BY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.158 per secondary endpoint hour for AWS Network Firewall in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Hourly","0.1580000000","USD","AWS Firewall","AWSNetworkFirewall","Asia Pacific (Mumbai)","AWS Region","APS3-Secondary-Endpoint-Hour","Operation:Metering","ap-south-1","AWS Network Firewall","Endpoint-Secondary"
|
AWSR53AppRecoveryController.csv
CHANGED
|
@@ -1,3 +1,4 @@
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","ClusterType","Frequency","Region Code","serviceName"
|
|
|
|
| 2 |
"PNPSBJHW7T66M8G2","JRTCKXETXF","PNPSBJHW7T66M8G2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.045 per hour per check","2025-07-01","0","Inf","hours","0.0450000000","USD","Application Recovery Controller","AWSR53AppRecoveryController","Any","AWS Region","Global-ReadinessCheck-Hours","ReadinessCheckOperation",,"60 Seconds","","AWS Route 53 Application Recovery Controller"
|
| 3 |
"XTAF5A9GSMJZT4QF","JRTCKXETXF","XTAF5A9GSMJZT4QF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.5 per hour per cluster","2025-07-01","0","Inf","hours","2.5000000000","USD","Application Recovery Controller","AWSR53AppRecoveryController","Any","AWS Region","Global-Cluster-Hours","ClusterOperation","Standard",,"","AWS Route 53 Application Recovery Controller"
|
|
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","ClusterType","Frequency","Region Code","serviceName"
|
| 2 |
+
"85BUZRCVSZQZXAPX","JRTCKXETXF","85BUZRCVSZQZXAPX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$70.00 per Month for Global-AmazonARCRegionSwitchPlan","2025-07-01","0","Inf","Month","70.0000000000","USD","Application Recovery Controller","AWSR53AppRecoveryController","Any","AWS Region","Global-AmazonARCRegionSwitchPlan","ARCRegionSwitchPlanOperation",,,"","AWS Route 53 Application Recovery Controller"
|
| 3 |
"PNPSBJHW7T66M8G2","JRTCKXETXF","PNPSBJHW7T66M8G2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.045 per hour per check","2025-07-01","0","Inf","hours","0.0450000000","USD","Application Recovery Controller","AWSR53AppRecoveryController","Any","AWS Region","Global-ReadinessCheck-Hours","ReadinessCheckOperation",,"60 Seconds","","AWS Route 53 Application Recovery Controller"
|
| 4 |
"XTAF5A9GSMJZT4QF","JRTCKXETXF","XTAF5A9GSMJZT4QF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2.5 per hour per cluster","2025-07-01","0","Inf","hours","2.5000000000","USD","Application Recovery Controller","AWSR53AppRecoveryController","Any","AWS Region","Global-Cluster-Hours","ClusterOperation","Standard",,"","AWS Route 53 Application Recovery Controller"
|
AmazonBedrock.csv
CHANGED
|
@@ -230,6 +230,7 @@
|
|
| 230 |
"7J45TQY4GT279ETJ","JRTCKXETXF","7J45TQY4GT279ETJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0008 per 1K tokens for TitanTextG1-Express-input-tokens in US West (GovCloud US-West)","2025-07-01","0","Inf","1K tokens","0.0008000000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-TitanTextG1-Express-input-tokens","",,,,"On-demand Inference",,"Input tokens",,,,,"us-gov-west-1","Amazon Bedrock","Titan Text G1 Express",
|
| 231 |
"7JF4G5R7XQ2DHKJ6","JRTCKXETXF","7JF4G5R7XQ2DHKJ6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0000195 per 1K tokens for EUC1-NovaLite-cache-read-input-token-count in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0000195000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-NovaLite-cache-read-input-token-count","",,,,"On-demand Inference",,"Prompt cache read input tokens","Nova Lite",,,,"eu-central-1","Amazon Bedrock",,
|
| 232 |
"7JUJCEZMJF9JADGK","JRTCKXETXF","7JUJCEZMJF9JADGK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per 1K tokens for USE1-NovaMicro-cache-write-input-token-count in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaMicro-cache-write-input-token-count","",,,,"On-demand Inference",,"Prompt cache write input tokens","Nova Micro",,,,"us-east-1","Amazon Bedrock",,
|
|
|
|
| 233 |
"7MSX6JC9R4K8YRR8","JRTCKXETXF","7MSX6JC9R4K8YRR8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0 per 1K text units for SensitiveInformationPolicyFreeUnitsConsumed in Canada (Central)","2025-07-01","0","Inf","TextUnit","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","Canada (Central)","AWS Region","CAN1-Guardrail-SensitiveInformationPolicyFreeUnitsConsumed","ApplyGuardrail",,,,,,,,,"SensitiveInfoFree",,"ca-central-1","Amazon Bedrock",,
|
| 234 |
"7NB43Q6YJDFPABFU","JRTCKXETXF","7NB43Q6YJDFPABFU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00003 per 1K tokens for Nova Lite-input-tokens in us-east-2 (Ohio)","2025-07-01","0","Inf","1K tokens","0.0000300000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-NovaLite-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Lite",,,,"us-east-2","Amazon Bedrock",,
|
| 235 |
"7NVPXGZPSXV7EXKE","JRTCKXETXF","7NVPXGZPSXV7EXKE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0007 per 1K tokens for Mixtral 8x7B output tokens in US East (Oregon)","2025-07-01","0","Inf","1K tokens","0.0007000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Mixtral8x7B-output-tokens","",,,,"On-demand Inference",,"Output tokens","Mixtral 8x7B",,,"Mistral","us-west-2","Amazon Bedrock",,
|
|
@@ -259,6 +260,7 @@
|
|
| 259 |
"86M7VPEA8CXMHXS9","JRTCKXETXF","86M7VPEA8CXMHXS9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00149 per 1K tokens for Llama3-1-8B-Customization-Training in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0014900000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Llama3-1-8B-Customization-Training","",,,,"Model Customization","Training",,"Llama 3.1 8B",,,,"us-west-2","Amazon Bedrock",,
|
| 260 |
"87CSG5RWJ8C7KRD5","JRTCKXETXF","87CSG5RWJ8C7KRD5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0151 per 1K tokens for TitanImageGeneratorG1-I2I-1024-Premium in Europe (London)","2025-07-01","0","Inf","image","0.0151000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanImageGeneratorG1-I2I-1024-Premium","",,,,"On-demand Inference",,"I2I 1024 Premium",,,,,"eu-west-2","Amazon Bedrock","Titan Image Generator G1",
|
| 261 |
"87XC7TRUVX2ECEK7","JRTCKXETXF","87XC7TRUVX2ECEK7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00336 per 1K tokens for APS2-NovaPro-output-tokens in Asia Pacific (Sydney)","2025-07-01","0","Inf","1K tokens","0.0033600000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"ap-southeast-2","Amazon Bedrock",,
|
|
|
|
| 262 |
"89VXHTX9B3RM3NRA","JRTCKXETXF","89VXHTX9B3RM3NRA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$19.2834 per 1K tokens for TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits in Canada (Central)","2025-07-01","0","Inf","hour","19.2834000000","USD","Amazon Bedrock","AmazonBedrock","Canada (Central)","AWS Region","CAN1-TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits","",,,,"Provisioned Throughput Inference - no commit",,,,,,,"ca-central-1","Amazon Bedrock",,"Titan Image Generator G1"
|
| 263 |
"8AMFP36SRRS7HE59","JRTCKXETXF","8AMFP36SRRS7HE59.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.001 per 1K tokens for Mistral Small input tokens in US East (N.Virginia)","2025-07-01","0","Inf","1K tokens","0.0010000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-MistralSmall-input-tokens","",,,,"On-demand Inference",,"Input tokens","Mistral Small",,,"Mistral","us-east-1","Amazon Bedrock",,
|
| 264 |
"8BCTPZBR6YK9PVER","JRTCKXETXF","8BCTPZBR6YK9PVER.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00097 per 1K output tokens for Llama 4 Maverick 17B in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0009700000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Llama4-Maverick-17B-output-tokens","",,,,"On-demand Inference",,"Output tokens","Llama 4 Maverick 17B",,,"Meta","us-east-1","Amazon Bedrock",,
|
|
@@ -329,6 +331,7 @@
|
|
| 329 |
"9KMJ2XW4BDK32DZN","JRTCKXETXF","9KMJ2XW4BDK32DZN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000036 per 1K tokens for UGW1-NovaLite-input-tokens-batch in AWS GovCloud (US-West)","2025-07-01","0","Inf","1K tokens","0.0000360000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-NovaLite-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Lite",,,,"us-gov-west-1","Amazon Bedrock",,
|
| 330 |
"9MKMMTUQ7ZHKUYMM","JRTCKXETXF","9MKMMTUQ7ZHKUYMM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.028 per 1K tokens for TitanTextG1-Premier-Customization-Training in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0280000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanText-Premier-Customization-Training","",,,,"Model Customization","Training",,,,,,"us-east-1","Amazon Bedrock","Titan Text G1 Premier",
|
| 331 |
"9P59JCM72YY69VKW","JRTCKXETXF","9P59JCM72YY69VKW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.014 per image for TitanImageGeneratorG1-T2I-1024-Premium in Asia Pacific (Mumbai)","2025-07-01","0","Inf","image","0.0140000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-TitanImageGeneratorG1-T2I-1024-Premium","",,,,"On-demand Inference",,"T2I 1024 Premium",,,,,"ap-south-1","Amazon Bedrock","Titan Image Generator G1",
|
|
|
|
| 332 |
"9S5WMCBSCQMH6RH6","JRTCKXETXF","9S5WMCBSCQMH6RH6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per Custom Model Unit/Month Storage for Mixtral architecture models in US West (Oregon)","2025-07-01","0","Inf","Model/month","1.9500000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Mixtral-CustomModelImport-Storage-v1:0","","Mixtral","Mixtral","v1.0","Custom Model Import","Storage",,,,,,"us-west-2","Amazon Bedrock",,
|
| 333 |
"9S7G3D24XYZRP42U","JRTCKXETXF","9S7G3D24XYZRP42U.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00345 per 1K tokens for Llama3-70B-input-tokens in Europe (London)","2025-07-01","0","Inf","1K tokens","0.0034500000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-Llama3-70B-input-tokens","",,,,"On-demand Inference",,"Input tokens","Llama 3 70B",,,"Meta","eu-west-2","Amazon Bedrock",,
|
| 334 |
"9TMFD44DV7PX75TH","JRTCKXETXF","9TMFD44DV7PX75TH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000085 per 1K input tokens for Llama 4 Scout 17B in US East (Ohio) for Batch","2025-07-01","0","Inf","1K tokens","0.0000850000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-Llama4-Scout-17B-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Llama 4 Scout 17B",,,"Meta","us-east-2","Amazon Bedrock",,
|
|
@@ -348,6 +351,7 @@
|
|
| 348 |
"9ZSHWCC93C9M6KP5","JRTCKXETXF","9ZSHWCC93C9M6KP5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.03 per 1K tokens for EUC1-APO-v1-optimizePrompt in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0300000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-APO-v1-optimizePrompt","APO-v1-optimizePrompt",,,,"Automatic Prompt Optimization",,,,,,,"eu-central-1","Amazon Bedrock",,
|
| 349 |
"A2WD2YA9948EURKQ","JRTCKXETXF","A2WD2YA9948EURKQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00800 per 1K tokens for Claude2.0-input-tokens inUS West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0080000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Claude2.0-input-tokens","",,,,"On-demand Inference",,"Input tokens","Claude 2.0",,,"Anthropic","us-west-2","Amazon Bedrock",,
|
| 350 |
"A3955C9X3B2FC6ZK","JRTCKXETXF","A3955C9X3B2FC6ZK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2 per 1000 requests for GenerateQuery API to generate SQL for Structured Data Retrieval","2025-07-01","0","Inf","Requests","0.0020000000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-GenerateSQL-StructuredRetrieve","GenerateSQL-StructuredRetrieve",,,,"Generate SQL - Structured Data Retrieval",,,,,,,"eu-west-3","Amazon Bedrock",,
|
|
|
|
| 351 |
"A4FB5KKTEH9QNA3P","JRTCKXETXF","A4FB5KKTEH9QNA3P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2 per 1000 requests for GenerateQuery API to generate SQL for Structured Data Retrieval","2025-07-01","0","Inf","Requests","0.0020000000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-East)","AWS Region","UGE1-GenerateSQL-StructuredRetrieve","GenerateSQL-StructuredRetrieve",,,,"Generate SQL - Structured Data Retrieval",,,,,,,"us-gov-east-1","Amazon Bedrock",,
|
| 352 |
"A5ZPGC7NBGBC4Q8Z","JRTCKXETXF","A5ZPGC7NBGBC4Q8Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000027 per 1K tokens for TitanEmbeddingV2-Text-input-tokens in Asia Pacific (Osaka)","2025-07-01","0","Inf","1K tokens","0.0000270000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Osaka)","AWS Region","APN3-TitanEmbeddingV2-Text-input-tokens","InvokeModelInference",,,,"On-demand Inference",,"Input tokens",,,,,"ap-northeast-3","Amazon Bedrock","TitanEmbeddingsV2-Text-input",
|
| 353 |
"A6SMR659EFRWVYPU","JRTCKXETXF","A6SMR659EFRWVYPU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00059 per 1K tokens for EUW3-NovaPro-input-tokens-batch in EU (Paris)","2025-07-01","0","Inf","1K tokens","0.0005900000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-NovaPro-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Pro",,,,"eu-west-3","Amazon Bedrock",,
|
|
@@ -382,6 +386,7 @@
|
|
| 382 |
"ARTFVEQZSJME5CFM","JRTCKXETXF","ARTFVEQZSJME5CFM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per Fields per Page Processed for APS3-DataAutomation-Custom-PagesProcessed-AddOnFields in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Fields per Page Processed","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-DataAutomation-Custom-PagesProcessed-AddOnFields","InvokeDataAutomationAsync",,,,"Documents Custom Ad-on Fields",,,,,,,"ap-south-1","Amazon Bedrock",,
|
| 383 |
"ATUPUHSG3YESB55N","JRTCKXETXF","ATUPUHSG3YESB55N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.00 per Per 1000 requests for USE2-Prompt-Routing-requests in US East (Ohio)","2025-07-01","0","Inf","Per 1000 requests","1.0000000000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-Prompt-Routing-requests","",,,,"Prompt Router",,,,,,,"us-east-2","Amazon Bedrock",,
|
| 384 |
"AU8HSFYWSRR7XVVX","JRTCKXETXF","AU8HSFYWSRR7XVVX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.04 charged per page for custom output","2025-07-01","0","Inf","Pages Processed","0.0400000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-DataAutomation-Custom-PagesProcessed","InvokeDataAutomationAsync",,,,"Documents Custom",,,,,,,"us-west-2","Amazon Bedrock",,
|
|
|
|
| 385 |
"AV2P9AFF55V567PZ","JRTCKXETXF","AV2P9AFF55V567PZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00003 per image for TitanEmbeddingsG1-Image-input-image-batch in US West (Oregon)","2025-07-01","0","Inf","Images Processed","0.0000300000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanEmbeddingsG1-Image-input-image-batch","",,,,"BatchInference",,"Input image",,,,,"us-west-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 386 |
"AVSQ3ZN6E43MQ3FH","JRTCKXETXF","AVSQ3ZN6E43MQ3FH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0042 per 1K tokens for EUC1-NovaPro-output-tokens in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0042000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"eu-central-1","Amazon Bedrock",,
|
| 387 |
"AXHUTS2V5TSGMQXK","JRTCKXETXF","AXHUTS2V5TSGMQXK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per 1K tokens for TitanEmbeddingsG1-Image-input-tokens-batch in Europe (London)","2025-07-01","0","Inf","1K tokens","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanEmbeddingsG1-Image-input-tokens-batch","",,,,"BatchInference",,"Input tokens",,,,,"eu-west-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
|
@@ -411,6 +416,7 @@
|
|
| 411 |
"BM3KX8ZEUN22KU9P","JRTCKXETXF","BM3KX8ZEUN22KU9P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$6.55 per 1K tokens for TitanEmbeddingsG1-Text-ProvisionedThroughput-6months-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","6.5500000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanEmbeddingsG1-Text-ProvisionedThroughput-6months-ModelUnits","",,,,"Provisioned Throughput Inference - 6 months",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Embeddings G1 Text"
|
| 412 |
"BMBSA2R4JVV2UGCJ","JRTCKXETXF","BMBSA2R4JVV2UGCJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000096 per 1K tokens for EUS1-NovaLite-input-tokens in EU (Milan)","2025-07-01","0","Inf","1K tokens","0.0000960000","USD","Amazon Bedrock","AmazonBedrock","EU (Milan)","AWS Region","EUS1-NovaLite-input-tokens","",,,,"On-demand Inference",,"Input tokens","Nova Lite",,,,"eu-south-1","Amazon Bedrock",,
|
| 413 |
"BMHBWK3KDC28B36X","JRTCKXETXF","BMHBWK3KDC28B36X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00048 per 1K tokens for UGW1-NovaPro-input-tokens-batch in AWS GovCloud (US-West)","2025-07-01","0","Inf","1K tokens","0.0004800000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-NovaPro-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Pro",,,,"us-gov-west-1","Amazon Bedrock",,
|
|
|
|
| 414 |
"BQW2NJCJ65PKU389","JRTCKXETXF","BQW2NJCJ65PKU389.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0 per hour for TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnit in US West (Oregon)","2025-07-01","0","Inf","hour","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits","",,,,"Provisioned Throughput Inference - no commit",,,,,,,"us-west-2","Amazon Bedrock",,"Titan Image Generator G1"
|
| 415 |
"BR7ZFNDQVCF75X5S","JRTCKXETXF","BR7ZFNDQVCF75X5S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0002 per 1K tokens for Mistral 7B input tokens in Europe (Paris)","2025-07-01","0","Inf","1K tokens","0.0002000000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-Mistral7B-input-tokens","",,,,"On-demand Inference",,"Input tokens","Mistral 7B",,,"Mistral","eu-west-3","Amazon Bedrock",,
|
| 416 |
"BUFP93PXGXYUX6KM","JRTCKXETXF","BUFP93PXGXYUX6KM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$12.7579 per 1K tokens for TitanEmbeddingsG1-Image-ProvisionedThroughput-1month-ModelUnits in South America (Sao Paulo)","2025-07-01","0","Inf","hour","12.7579000000","USD","Amazon Bedrock","AmazonBedrock","South America (Sao Paulo)","AWS Region","SAE1-TitanEmbeddingsG1-Image-ProvisionedThroughput-1month-ModelUnits","",,,,"Provisioned Throughput Inference - 1 month",,,,,,,"sa-east-1","Amazon Bedrock",,"Titan Embeddings G1 Image"
|
|
@@ -769,6 +775,7 @@
|
|
| 769 |
"N9FJYCVC7JF67F6J","JRTCKXETXF","N9FJYCVC7JF67F6J.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1 per 1K text units for ContextualGroundingPolicyUnitsConsumed in EU (Frankfurt)","2025-07-01","0","Inf","TextUnit","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-Guardrail-ContextualGroundingPolicyUnitsConsumed","ApplyGuardrail",,,,,,,,,"ContextualGrounding",,"eu-central-1","Amazon Bedrock",,
|
| 770 |
"N9QXEJKK3J76W3K3","JRTCKXETXF","N9QXEJKK3J76W3K3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00118 per 1K tokens for EUW3-NovaPro-input-tokens in EU (Paris)","2025-07-01","0","Inf","1K tokens","0.0011800000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-NovaPro-input-tokens","",,,,"On-demand Inference",,"Input tokens","Nova Pro",,,,"eu-west-3","Amazon Bedrock",,
|
| 771 |
"NAXJVN8UCKYT6PVB","JRTCKXETXF","NAXJVN8UCKYT6PVB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.001 per 1K tokens for Nova Micro-Customization-Training in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0010000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaMicro-Customization-Training","",,,,"Model Customization","Training",,"Nova Micro",,,,"us-east-1","Amazon Bedrock",,
|
|
|
|
| 772 |
"NCNQEYHNUVN8U9V8","JRTCKXETXF","NCNQEYHNUVN8U9V8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00384 per 1K tokens for UGW1-NovaPro-output-tokens in AWS GovCloud (US-West)","2025-07-01","0","Inf","1K tokens","0.0038400000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"us-gov-west-1","Amazon Bedrock",,
|
| 773 |
"NDS282TRHEV8Y3TH","JRTCKXETXF","NDS282TRHEV8Y3TH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1 per 1K text units for ContextualGroundingPolicyUnitsConsumed in Asia Pacific (Singapore)","2025-07-01","0","Inf","TextUnit","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Singapore)","AWS Region","APS1-Guardrail-ContextualGroundingPolicyUnitsConsumed","ApplyGuardrail",,,,,,,,,"ContextualGrounding",,"ap-southeast-1","Amazon Bedrock",,
|
| 774 |
"NE73KEACXPHJCGBT","JRTCKXETXF","NE73KEACXPHJCGBT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0009 per 1K input tokens for Llama 3.1 70B Latency Optimized in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0009000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Llama3-1-70B-input-tokens-latency-optimized","",,,,"On-demand Inference",,"Input tokens","Llama 3.1 70B Latency Optimized",,,"Meta","us-east-1","Amazon Bedrock",,
|
|
@@ -809,6 +816,7 @@
|
|
| 809 |
"PC72VG9827EX335C","JRTCKXETXF","PC72VG9827EX335C.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.012 per image for TitanImageGeneratorG1-T2I-1024-Premium in US East (N. Virginia)","2025-07-01","0","Inf","image","0.0120000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanImageGeneratorG1-T2I-1024-Premium","",,,,"On-demand Inference",,"T2I 1024 Premium",,,,,"us-east-1","Amazon Bedrock","Titan Image Generator G1",
|
| 810 |
"PCYS8BY7QKG5QDUS","JRTCKXETXF","PCYS8BY7QKG5QDUS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00625 per 1K tokens for USE2-NovaPremier-output-tokens-batch in US East (Ohio)","2025-07-01","0","Inf","1K tokens","0.0062500000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-NovaPremier-output-tokens-batch","",,,,"Batch Inference",,"Output tokens","Nova Premier",,,,"us-east-2","Amazon Bedrock",,
|
| 811 |
"PDS2FJCB9DD9PJP3","JRTCKXETXF","PDS2FJCB9DD9PJP3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.009 per Minutes Processed for APS3-DataAutomation-Custom-AudioMinutesProcessed in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Minutes Processed","0.0090000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-DataAutomation-Custom-AudioMinutesProcessed","InvokeDataAutomationAsync",,,,"Audio Custom",,,,,,,"ap-south-1","Amazon Bedrock",,
|
|
|
|
| 812 |
"PER2E9BA829ZN2SJ","JRTCKXETXF","PER2E9BA829ZN2SJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00024 per 1K tokens for USE1-NovaLite-output-tokens-custom-model in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0002400000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaLite-output-tokens-custom-model","",,,,"Model Customization",,"Output tokens","Nova Lite",,,,"us-east-1","Amazon Bedrock",,
|
| 813 |
"PFUG3APZHMDBR2A9","JRTCKXETXF","PFUG3APZHMDBR2A9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00008 per Images Processed for TitanEmbeddingsG1-Image-input-image in Asia Pacific (Sydney)","2025-07-01","0","Inf","Images Processed","0.0000800000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-TitanEmbeddingsG1-Image-input-image","",,,,"On-demand Inference",,"Input image",,,,,"ap-southeast-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 814 |
"PG4S3SNQSYH78AAB","JRTCKXETXF","PG4S3SNQSYH78AAB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per Fields per Page Processed for APS2-DataAutomation-Custom-PagesProcessed-AddOnFields in Asia Pacific (Sydney)","2025-07-01","0","Inf","Fields per Page Processed","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-DataAutomation-Custom-PagesProcessed-AddOnFields","InvokeDataAutomationAsync",,,,"Documents Custom Ad-on Fields",,,,,,,"ap-southeast-2","Amazon Bedrock",,
|
|
@@ -888,6 +896,7 @@
|
|
| 888 |
"RFS8TF39WUBW26YT","JRTCKXETXF","RFS8TF39WUBW26YT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$22.7115 per 1K tokens for TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","22.7115000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits","",,,,"Provisioned Throughput Inference - no commit",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Image Generator G1"
|
| 889 |
"RG9FZH4V58NB6TAQ","JRTCKXETXF","RG9FZH4V58NB6TAQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0004 per hour for TitanTextG1-Lite-Customization-Training in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0004000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanTextG1-Lite-Customization-Training","",,,,"Model Customization","Training",,,,,,"us-west-2","Amazon Bedrock","Titan Text G1 Lite",
|
| 890 |
"RGKZUPWPJQHESJUB","JRTCKXETXF","RGKZUPWPJQHESJUB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0003 per 1K tokens for TitanTextG1-Lite-output-tokens in Canada (Central)","2025-07-01","0","Inf","1K tokens","0.0003000000","USD","Amazon Bedrock","AmazonBedrock","Canada (Central)","AWS Region","CAN1-TitanTextG1-Lite-output-tokens","",,,,"On-demand Inference",,"Output tokens",,,,,"ca-central-1","Amazon Bedrock","Titan Text G1 Lite",
|
|
|
|
| 891 |
"RHDTAH267YS8KFPA","JRTCKXETXF","RHDTAH267YS8KFPA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00022 per 1K tokens for EUS2-NovaPro-cache-read-input-token-count in Europe (Spain)","2025-07-01","0","Inf","1K tokens","0.0002200000","USD","Amazon Bedrock","AmazonBedrock","Europe (Spain)","AWS Region","EUS2-NovaPro-cache-read-input-token-count","",,,,"On-demand Inference",,"Prompt cache read input tokens","Nova Pro",,,,"eu-south-2","Amazon Bedrock",,
|
| 892 |
"RHR2BJ4QAYCCHKS4","JRTCKXETXF","RHR2BJ4QAYCCHKS4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.001 per 1K tokens for TitanTextG1-Express-input-tokens in Europe (Ireland)","2025-07-01","0","Inf","1K tokens","0.0010000000","USD","Amazon Bedrock","AmazonBedrock","EU (Ireland)","AWS Region","EU-TitanTextG1-Express-input-tokens","",,,,"On-demand Inference",,"Input tokens",,,,,"eu-west-1","Amazon Bedrock","Titan Text G1 Express",
|
| 893 |
"RJJ6JU2922G7A3R4","JRTCKXETXF","RJJ6JU2922G7A3R4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per image for TitanImageGeneratorG1-T2I-512-Premium in US West (Oregon)","2025-07-01","0","Inf","image","0.0100000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorG1-T2I-512-Premium","",,,,"On-demand Inference",,"T2I 512 Premium",,,,,"us-west-2","Amazon Bedrock","Titan Image Generator G1",
|
|
@@ -896,6 +905,7 @@
|
|
| 896 |
"RKGGPT96WSG396X9","JRTCKXETXF","RKGGPT96WSG396X9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0004 per 1K tokens for TitanEmbeddingsG1-Image-input-tokens-batch in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0004000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanEmbeddingsG1-Image-input-tokens-batch","",,,,"BatchInference",,"Input tokens",,,,,"us-west-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 897 |
"RKM7R5K8YUTZ7PGP","JRTCKXETXF","RKM7R5K8YUTZ7PGP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.022 per image for TitanImageGeneratorG1-Custom-I2I-1024-Premium in US West (Oregon)","2025-07-01","0","Inf","image","0.0220000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorG1-Custom-I2I-1024-Premium","",,,,"On-demand Inference",,"Custom I2I 1024 Premium",,,,,"us-west-2","Amazon Bedrock","Titan Image Generator G1",
|
| 898 |
"RPG2CFHVNM24A75X","JRTCKXETXF","RPG2CFHVNM24A75X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000023 per 1K tokens for EUC1-NovaMicro-input-tokens-batch in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0000230000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-NovaMicro-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Micro",,,,"eu-central-1","Amazon Bedrock",,
|
|
|
|
| 899 |
"RQJWZSHKXACMGWGS","JRTCKXETXF","RQJWZSHKXACMGWGS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per 1K tokens for USW2-NovaMicro-cache-write-input-token-count in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-NovaMicro-cache-write-input-token-count","",,,,"On-demand Inference",,"Prompt cache write input tokens","Nova Micro",,,,"us-west-2","Amazon Bedrock",,
|
| 900 |
"RS4JPUWRVXVJCUCE","JRTCKXETXF","RS4JPUWRVXVJCUCE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0001 per 1K tokens for TitanEmbeddingsG1-Text-input-tokens in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanEmbeddingsG1-Text-input-tokens","",,,,"On-demand Inference",,"Input tokens",,,,,"us-east-1","Amazon Bedrock","Titan Embeddings G1 Text",
|
| 901 |
"RS4URAPPMZPTGQX4","JRTCKXETXF","RS4URAPPMZPTGQX4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per image for TitanImageGeneratorV2-T2I-1024-Standard in US West (Oregon)","2025-07-01","0","Inf","image","0.0100000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorV2-T2I-1024-Standard","",,,,"On-demand Inference",,"T2I 1024 Standard",,,,,"us-west-2","Amazon Bedrock","Titan Image Generator V2",
|
|
@@ -954,6 +964,7 @@
|
|
| 954 |
"T6MY2REK6JNUD6N2","JRTCKXETXF","T6MY2REK6JNUD6N2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per 1K tokens for USW2-NovaLite-cache-write-input-token-count in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-NovaLite-cache-write-input-token-count","",,,,"On-demand Inference",,"Prompt cache write input tokens","Nova Lite",,,,"us-west-2","Amazon Bedrock",,
|
| 955 |
"T7BZAS66QDYFX4AR","JRTCKXETXF","T7BZAS66QDYFX4AR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0112 per image for TitanImageGeneratorG1-T2I-512-Premium in Europe (Ireland)","2025-07-01","0","Inf","image","0.0112000000","USD","Amazon Bedrock","AmazonBedrock","EU (Ireland)","AWS Region","EU-TitanImageGeneratorG1-T2I-512-Premium","",,,,"On-demand Inference",,"T2I 512 Premium",,,,,"eu-west-1","Amazon Bedrock","Titan Image Generator G1",
|
| 956 |
"T7QYQTXD6HKEPUVB","JRTCKXETXF","T7QYQTXD6HKEPUVB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$8.5699 per 1K tokens for TitanEmbeddingsG1-Image-ProvisionedThroughput-6months-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","8.5699000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanEmbeddingsG1-Image-ProvisionedThroughput-6months-ModelUnits","",,,,"Provisioned Throughput Inference - 6 months",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Embeddings G1 Image"
|
|
|
|
| 957 |
"T9CR8TB4GTY89X78","JRTCKXETXF","T9CR8TB4GTY89X78.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000085 per 1K input tokens for Llama 4 Scout 17B in US West (Oregon) for Batch","2025-07-01","0","Inf","1K tokens","0.0000850000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Llama4-Scout-17B-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Llama 4 Scout 17B",,,"Meta","us-west-2","Amazon Bedrock",,
|
| 958 |
"T9XB9RPQWQX5KTKB","JRTCKXETXF","T9XB9RPQWQX5KTKB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per 1K tokens for TitanEmbeddingsG1-Image-input-tokens-batch in Asia Pacific (Sydney)","2025-07-01","0","Inf","1K tokens","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-TitanEmbeddingsG1-Image-input-tokens-batch","",,,,"BatchInference",,"Input tokens",,,,,"ap-southeast-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 959 |
"TAUKZA4EVCYGWCFF","JRTCKXETXF","TAUKZA4EVCYGWCFF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per Model/month for TitanTextG1-Lite-Customization-Storage in US East (N. Virginia)","2025-07-01","0","Inf","Model/month","1.9500000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanTextG1-Lite-Customization-Storage","",,,,"Model Customization","Storage",,,,,,"us-east-1","Amazon Bedrock","Titan Text G1 Lite",
|
|
@@ -1227,6 +1238,7 @@
|
|
| 1227 |
"ZJ6KM9CSPK4EKKMJ","JRTCKXETXF","ZJ6KM9CSPK4EKKMJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$16.4028 per 1K tokens for TitanImageGeneratorG1-ProvisionedThroughput-6months-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","16.4028000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanImageGeneratorG1-ProvisionedThroughput-6months-ModelUnits","",,,,"Provisioned Throughput Inference - 6 months",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Image Generator G1"
|
| 1228 |
"ZJCQUFWG7UVM3PYM","JRTCKXETXF","ZJCQUFWG7UVM3PYM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per Custom Model Unit per Month for Storage for Llama architecture models in EU (Frankfurt)","2025-07-01","0","Inf","Model/month","1.9500000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-Llama-CustomModelImport-Storage-v1:0","","Llama","Llama","v1.0","Custom Model Import","Storage",,,,,,"eu-central-1","Amazon Bedrock",,
|
| 1229 |
"ZKCCTPJXTF33WCT5","JRTCKXETXF","ZKCCTPJXTF33WCT5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1 per 1K text units for ContextualGroundingPolicyUnitsConsumed in US East (N. Virginia)","2025-07-01","0","Inf","TextUnit","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Guardrail-ContextualGroundingPolicyUnitsConsumed","ApplyGuardrail",,,,,,,,,"ContextualGrounding",,"us-east-1","Amazon Bedrock",,
|
|
|
|
| 1230 |
"ZQ5FR9UVF8V64SX8","JRTCKXETXF","ZQ5FR9UVF8V64SX8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00000875 per 1K cache read input tokens of Nova Micro in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0000087500","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaMicro-cache-read-input-token-count","",,,,"On-demand Inference",,"Prompt cache read input tokens","Nova Micro",,,,"us-east-1","Amazon Bedrock",,
|
| 1231 |
"ZQNN2AJ3AVRDM8E6","JRTCKXETXF","ZQNN2AJ3AVRDM8E6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.006 per Minutes Processed for APS3-DataAutomation-Standard-AudioMinutesProcessed in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Minutes Processed","0.0060000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-DataAutomation-Standard-AudioMinutesProcessed","InvokeDataAutomationAsync",,,,"Audio Standard",,,,,,,"ap-south-1","Amazon Bedrock",,
|
| 1232 |
"ZRT87PRQNK45SC6F","JRTCKXETXF","ZRT87PRQNK45SC6F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0009 per 1K output tokens for Llama 3.1 70B Latency Optimized in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0009000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Llama3-1-70B-output-tokens-latency-optimized","",,,,"On-demand Inference",,"Output tokens","Llama 3.1 70B Latency Optimized",,,"Meta","us-east-1","Amazon Bedrock",,
|
|
|
|
| 230 |
"7J45TQY4GT279ETJ","JRTCKXETXF","7J45TQY4GT279ETJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0008 per 1K tokens for TitanTextG1-Express-input-tokens in US West (GovCloud US-West)","2025-07-01","0","Inf","1K tokens","0.0008000000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-TitanTextG1-Express-input-tokens","",,,,"On-demand Inference",,"Input tokens",,,,,"us-gov-west-1","Amazon Bedrock","Titan Text G1 Express",
|
| 231 |
"7JF4G5R7XQ2DHKJ6","JRTCKXETXF","7JF4G5R7XQ2DHKJ6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0000195 per 1K tokens for EUC1-NovaLite-cache-read-input-token-count in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0000195000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-NovaLite-cache-read-input-token-count","",,,,"On-demand Inference",,"Prompt cache read input tokens","Nova Lite",,,,"eu-central-1","Amazon Bedrock",,
|
| 232 |
"7JUJCEZMJF9JADGK","JRTCKXETXF","7JUJCEZMJF9JADGK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per 1K tokens for USE1-NovaMicro-cache-write-input-token-count in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaMicro-cache-write-input-token-count","",,,,"On-demand Inference",,"Prompt cache write input tokens","Nova Micro",,,,"us-east-1","Amazon Bedrock",,
|
| 233 |
+
"7KUAJEM3DRDQT3RC","JRTCKXETXF","7KUAJEM3DRDQT3RC.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00412 per 1K tokens for USW1-NovaPro-output-tokens in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0041200000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"us-west-1","Amazon Bedrock",,
|
| 234 |
"7MSX6JC9R4K8YRR8","JRTCKXETXF","7MSX6JC9R4K8YRR8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0 per 1K text units for SensitiveInformationPolicyFreeUnitsConsumed in Canada (Central)","2025-07-01","0","Inf","TextUnit","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","Canada (Central)","AWS Region","CAN1-Guardrail-SensitiveInformationPolicyFreeUnitsConsumed","ApplyGuardrail",,,,,,,,,"SensitiveInfoFree",,"ca-central-1","Amazon Bedrock",,
|
| 235 |
"7NB43Q6YJDFPABFU","JRTCKXETXF","7NB43Q6YJDFPABFU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00003 per 1K tokens for Nova Lite-input-tokens in us-east-2 (Ohio)","2025-07-01","0","Inf","1K tokens","0.0000300000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-NovaLite-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Lite",,,,"us-east-2","Amazon Bedrock",,
|
| 236 |
"7NVPXGZPSXV7EXKE","JRTCKXETXF","7NVPXGZPSXV7EXKE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0007 per 1K tokens for Mixtral 8x7B output tokens in US East (Oregon)","2025-07-01","0","Inf","1K tokens","0.0007000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Mixtral8x7B-output-tokens","",,,,"On-demand Inference",,"Output tokens","Mixtral 8x7B",,,"Mistral","us-west-2","Amazon Bedrock",,
|
|
|
|
| 260 |
"86M7VPEA8CXMHXS9","JRTCKXETXF","86M7VPEA8CXMHXS9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00149 per 1K tokens for Llama3-1-8B-Customization-Training in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0014900000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Llama3-1-8B-Customization-Training","",,,,"Model Customization","Training",,"Llama 3.1 8B",,,,"us-west-2","Amazon Bedrock",,
|
| 261 |
"87CSG5RWJ8C7KRD5","JRTCKXETXF","87CSG5RWJ8C7KRD5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0151 per 1K tokens for TitanImageGeneratorG1-I2I-1024-Premium in Europe (London)","2025-07-01","0","Inf","image","0.0151000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanImageGeneratorG1-I2I-1024-Premium","",,,,"On-demand Inference",,"I2I 1024 Premium",,,,,"eu-west-2","Amazon Bedrock","Titan Image Generator G1",
|
| 262 |
"87XC7TRUVX2ECEK7","JRTCKXETXF","87XC7TRUVX2ECEK7.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00336 per 1K tokens for APS2-NovaPro-output-tokens in Asia Pacific (Sydney)","2025-07-01","0","Inf","1K tokens","0.0033600000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"ap-southeast-2","Amazon Bedrock",,
|
| 263 |
+
"89CJKQVDBJ6TBCEH","JRTCKXETXF","89CJKQVDBJ6TBCEH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00012 per 1K input tokens for Llama 4 Maverick 17B in US West (N. California) for Batch","2025-07-01","0","Inf","1K tokens","0.0001200000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Maverick-17B-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Llama 4 Maverick 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 264 |
"89VXHTX9B3RM3NRA","JRTCKXETXF","89VXHTX9B3RM3NRA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$19.2834 per 1K tokens for TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits in Canada (Central)","2025-07-01","0","Inf","hour","19.2834000000","USD","Amazon Bedrock","AmazonBedrock","Canada (Central)","AWS Region","CAN1-TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits","",,,,"Provisioned Throughput Inference - no commit",,,,,,,"ca-central-1","Amazon Bedrock",,"Titan Image Generator G1"
|
| 265 |
"8AMFP36SRRS7HE59","JRTCKXETXF","8AMFP36SRRS7HE59.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.001 per 1K tokens for Mistral Small input tokens in US East (N.Virginia)","2025-07-01","0","Inf","1K tokens","0.0010000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-MistralSmall-input-tokens","",,,,"On-demand Inference",,"Input tokens","Mistral Small",,,"Mistral","us-east-1","Amazon Bedrock",,
|
| 266 |
"8BCTPZBR6YK9PVER","JRTCKXETXF","8BCTPZBR6YK9PVER.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00097 per 1K output tokens for Llama 4 Maverick 17B in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0009700000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Llama4-Maverick-17B-output-tokens","",,,,"On-demand Inference",,"Output tokens","Llama 4 Maverick 17B",,,"Meta","us-east-1","Amazon Bedrock",,
|
|
|
|
| 331 |
"9KMJ2XW4BDK32DZN","JRTCKXETXF","9KMJ2XW4BDK32DZN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000036 per 1K tokens for UGW1-NovaLite-input-tokens-batch in AWS GovCloud (US-West)","2025-07-01","0","Inf","1K tokens","0.0000360000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-NovaLite-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Lite",,,,"us-gov-west-1","Amazon Bedrock",,
|
| 332 |
"9MKMMTUQ7ZHKUYMM","JRTCKXETXF","9MKMMTUQ7ZHKUYMM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.028 per 1K tokens for TitanTextG1-Premier-Customization-Training in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0280000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanText-Premier-Customization-Training","",,,,"Model Customization","Training",,,,,,"us-east-1","Amazon Bedrock","Titan Text G1 Premier",
|
| 333 |
"9P59JCM72YY69VKW","JRTCKXETXF","9P59JCM72YY69VKW.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.014 per image for TitanImageGeneratorG1-T2I-1024-Premium in Asia Pacific (Mumbai)","2025-07-01","0","Inf","image","0.0140000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-TitanImageGeneratorG1-T2I-1024-Premium","",,,,"On-demand Inference",,"T2I 1024 Premium",,,,,"ap-south-1","Amazon Bedrock","Titan Image Generator G1",
|
| 334 |
+
"9QN7QRFV4YKYPRNM","JRTCKXETXF","9QN7QRFV4YKYPRNM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00066 per 1K output tokens for Llama 4 Scout 17B in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0006600000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Scout-17B-output-tokens","",,,,"On-demand Inference",,"Output tokens","Llama 4 Scout 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 335 |
"9S5WMCBSCQMH6RH6","JRTCKXETXF","9S5WMCBSCQMH6RH6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per Custom Model Unit/Month Storage for Mixtral architecture models in US West (Oregon)","2025-07-01","0","Inf","Model/month","1.9500000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Mixtral-CustomModelImport-Storage-v1:0","","Mixtral","Mixtral","v1.0","Custom Model Import","Storage",,,,,,"us-west-2","Amazon Bedrock",,
|
| 336 |
"9S7G3D24XYZRP42U","JRTCKXETXF","9S7G3D24XYZRP42U.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00345 per 1K tokens for Llama3-70B-input-tokens in Europe (London)","2025-07-01","0","Inf","1K tokens","0.0034500000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-Llama3-70B-input-tokens","",,,,"On-demand Inference",,"Input tokens","Llama 3 70B",,,"Meta","eu-west-2","Amazon Bedrock",,
|
| 337 |
"9TMFD44DV7PX75TH","JRTCKXETXF","9TMFD44DV7PX75TH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000085 per 1K input tokens for Llama 4 Scout 17B in US East (Ohio) for Batch","2025-07-01","0","Inf","1K tokens","0.0000850000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-Llama4-Scout-17B-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Llama 4 Scout 17B",,,"Meta","us-east-2","Amazon Bedrock",,
|
|
|
|
| 351 |
"9ZSHWCC93C9M6KP5","JRTCKXETXF","9ZSHWCC93C9M6KP5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.03 per 1K tokens for EUC1-APO-v1-optimizePrompt in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0300000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-APO-v1-optimizePrompt","APO-v1-optimizePrompt",,,,"Automatic Prompt Optimization",,,,,,,"eu-central-1","Amazon Bedrock",,
|
| 352 |
"A2WD2YA9948EURKQ","JRTCKXETXF","A2WD2YA9948EURKQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00800 per 1K tokens for Claude2.0-input-tokens inUS West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0080000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Claude2.0-input-tokens","",,,,"On-demand Inference",,"Input tokens","Claude 2.0",,,"Anthropic","us-west-2","Amazon Bedrock",,
|
| 353 |
"A3955C9X3B2FC6ZK","JRTCKXETXF","A3955C9X3B2FC6ZK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2 per 1000 requests for GenerateQuery API to generate SQL for Structured Data Retrieval","2025-07-01","0","Inf","Requests","0.0020000000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-GenerateSQL-StructuredRetrieve","GenerateSQL-StructuredRetrieve",,,,"Generate SQL - Structured Data Retrieval",,,,,,,"eu-west-3","Amazon Bedrock",,
|
| 354 |
+
"A48QKWBTCH6YX9D9","JRTCKXETXF","A48QKWBTCH6YX9D9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000485 per 1K output tokens for Llama 4 Maverick 17B in US West (N. California) for Batch","2025-07-01","0","Inf","1K tokens","0.0004850000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Maverick-17B-output-tokens-batch","",,,,"Batch Inference",,"Output tokens","Llama 4 Maverick 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 355 |
"A4FB5KKTEH9QNA3P","JRTCKXETXF","A4FB5KKTEH9QNA3P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$2 per 1000 requests for GenerateQuery API to generate SQL for Structured Data Retrieval","2025-07-01","0","Inf","Requests","0.0020000000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-East)","AWS Region","UGE1-GenerateSQL-StructuredRetrieve","GenerateSQL-StructuredRetrieve",,,,"Generate SQL - Structured Data Retrieval",,,,,,,"us-gov-east-1","Amazon Bedrock",,
|
| 356 |
"A5ZPGC7NBGBC4Q8Z","JRTCKXETXF","A5ZPGC7NBGBC4Q8Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000027 per 1K tokens for TitanEmbeddingV2-Text-input-tokens in Asia Pacific (Osaka)","2025-07-01","0","Inf","1K tokens","0.0000270000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Osaka)","AWS Region","APN3-TitanEmbeddingV2-Text-input-tokens","InvokeModelInference",,,,"On-demand Inference",,"Input tokens",,,,,"ap-northeast-3","Amazon Bedrock","TitanEmbeddingsV2-Text-input",
|
| 357 |
"A6SMR659EFRWVYPU","JRTCKXETXF","A6SMR659EFRWVYPU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00059 per 1K tokens for EUW3-NovaPro-input-tokens-batch in EU (Paris)","2025-07-01","0","Inf","1K tokens","0.0005900000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-NovaPro-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Pro",,,,"eu-west-3","Amazon Bedrock",,
|
|
|
|
| 386 |
"ARTFVEQZSJME5CFM","JRTCKXETXF","ARTFVEQZSJME5CFM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per Fields per Page Processed for APS3-DataAutomation-Custom-PagesProcessed-AddOnFields in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Fields per Page Processed","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-DataAutomation-Custom-PagesProcessed-AddOnFields","InvokeDataAutomationAsync",,,,"Documents Custom Ad-on Fields",,,,,,,"ap-south-1","Amazon Bedrock",,
|
| 387 |
"ATUPUHSG3YESB55N","JRTCKXETXF","ATUPUHSG3YESB55N.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.00 per Per 1000 requests for USE2-Prompt-Routing-requests in US East (Ohio)","2025-07-01","0","Inf","Per 1000 requests","1.0000000000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-Prompt-Routing-requests","",,,,"Prompt Router",,,,,,,"us-east-2","Amazon Bedrock",,
|
| 388 |
"AU8HSFYWSRR7XVVX","JRTCKXETXF","AU8HSFYWSRR7XVVX.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.04 charged per page for custom output","2025-07-01","0","Inf","Pages Processed","0.0400000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-DataAutomation-Custom-PagesProcessed","InvokeDataAutomationAsync",,,,"Documents Custom",,,,,,,"us-west-2","Amazon Bedrock",,
|
| 389 |
+
"AUKKPMQM5NH2UUBR","JRTCKXETXF","AUKKPMQM5NH2UUBR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00103 per 1K tokens for USW1-NovaPro-input-tokens in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0010300000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-NovaPro-input-tokens","",,,,"On-demand Inference",,"Input tokens","Nova Pro",,,,"us-west-1","Amazon Bedrock",,
|
| 390 |
"AV2P9AFF55V567PZ","JRTCKXETXF","AV2P9AFF55V567PZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00003 per image for TitanEmbeddingsG1-Image-input-image-batch in US West (Oregon)","2025-07-01","0","Inf","Images Processed","0.0000300000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanEmbeddingsG1-Image-input-image-batch","",,,,"BatchInference",,"Input image",,,,,"us-west-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 391 |
"AVSQ3ZN6E43MQ3FH","JRTCKXETXF","AVSQ3ZN6E43MQ3FH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0042 per 1K tokens for EUC1-NovaPro-output-tokens in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0042000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"eu-central-1","Amazon Bedrock",,
|
| 392 |
"AXHUTS2V5TSGMQXK","JRTCKXETXF","AXHUTS2V5TSGMQXK.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per 1K tokens for TitanEmbeddingsG1-Image-input-tokens-batch in Europe (London)","2025-07-01","0","Inf","1K tokens","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanEmbeddingsG1-Image-input-tokens-batch","",,,,"BatchInference",,"Input tokens",,,,,"eu-west-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
|
|
|
| 416 |
"BM3KX8ZEUN22KU9P","JRTCKXETXF","BM3KX8ZEUN22KU9P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$6.55 per 1K tokens for TitanEmbeddingsG1-Text-ProvisionedThroughput-6months-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","6.5500000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanEmbeddingsG1-Text-ProvisionedThroughput-6months-ModelUnits","",,,,"Provisioned Throughput Inference - 6 months",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Embeddings G1 Text"
|
| 417 |
"BMBSA2R4JVV2UGCJ","JRTCKXETXF","BMBSA2R4JVV2UGCJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000096 per 1K tokens for EUS1-NovaLite-input-tokens in EU (Milan)","2025-07-01","0","Inf","1K tokens","0.0000960000","USD","Amazon Bedrock","AmazonBedrock","EU (Milan)","AWS Region","EUS1-NovaLite-input-tokens","",,,,"On-demand Inference",,"Input tokens","Nova Lite",,,,"eu-south-1","Amazon Bedrock",,
|
| 418 |
"BMHBWK3KDC28B36X","JRTCKXETXF","BMHBWK3KDC28B36X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00048 per 1K tokens for UGW1-NovaPro-input-tokens-batch in AWS GovCloud (US-West)","2025-07-01","0","Inf","1K tokens","0.0004800000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-NovaPro-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Pro",,,,"us-gov-west-1","Amazon Bedrock",,
|
| 419 |
+
"BQ8HZ4DBZSBAZPT3","JRTCKXETXF","BQ8HZ4DBZSBAZPT3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000077 per 1K tokens for USW1-NovaLite-input-tokens in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0000770000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-NovaLite-input-tokens","",,,,"On-demand Inference",,"Input tokens","Nova Lite",,,,"us-west-1","Amazon Bedrock",,
|
| 420 |
"BQW2NJCJ65PKU389","JRTCKXETXF","BQW2NJCJ65PKU389.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0 per hour for TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnit in US West (Oregon)","2025-07-01","0","Inf","hour","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits","",,,,"Provisioned Throughput Inference - no commit",,,,,,,"us-west-2","Amazon Bedrock",,"Titan Image Generator G1"
|
| 421 |
"BR7ZFNDQVCF75X5S","JRTCKXETXF","BR7ZFNDQVCF75X5S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0002 per 1K tokens for Mistral 7B input tokens in Europe (Paris)","2025-07-01","0","Inf","1K tokens","0.0002000000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-Mistral7B-input-tokens","",,,,"On-demand Inference",,"Input tokens","Mistral 7B",,,"Mistral","eu-west-3","Amazon Bedrock",,
|
| 422 |
"BUFP93PXGXYUX6KM","JRTCKXETXF","BUFP93PXGXYUX6KM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$12.7579 per 1K tokens for TitanEmbeddingsG1-Image-ProvisionedThroughput-1month-ModelUnits in South America (Sao Paulo)","2025-07-01","0","Inf","hour","12.7579000000","USD","Amazon Bedrock","AmazonBedrock","South America (Sao Paulo)","AWS Region","SAE1-TitanEmbeddingsG1-Image-ProvisionedThroughput-1month-ModelUnits","",,,,"Provisioned Throughput Inference - 1 month",,,,,,,"sa-east-1","Amazon Bedrock",,"Titan Embeddings G1 Image"
|
|
|
|
| 775 |
"N9FJYCVC7JF67F6J","JRTCKXETXF","N9FJYCVC7JF67F6J.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1 per 1K text units for ContextualGroundingPolicyUnitsConsumed in EU (Frankfurt)","2025-07-01","0","Inf","TextUnit","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-Guardrail-ContextualGroundingPolicyUnitsConsumed","ApplyGuardrail",,,,,,,,,"ContextualGrounding",,"eu-central-1","Amazon Bedrock",,
|
| 776 |
"N9QXEJKK3J76W3K3","JRTCKXETXF","N9QXEJKK3J76W3K3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00118 per 1K tokens for EUW3-NovaPro-input-tokens in EU (Paris)","2025-07-01","0","Inf","1K tokens","0.0011800000","USD","Amazon Bedrock","AmazonBedrock","EU (Paris)","AWS Region","EUW3-NovaPro-input-tokens","",,,,"On-demand Inference",,"Input tokens","Nova Pro",,,,"eu-west-3","Amazon Bedrock",,
|
| 777 |
"NAXJVN8UCKYT6PVB","JRTCKXETXF","NAXJVN8UCKYT6PVB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.001 per 1K tokens for Nova Micro-Customization-Training in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0010000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaMicro-Customization-Training","",,,,"Model Customization","Training",,"Nova Micro",,,,"us-east-1","Amazon Bedrock",,
|
| 778 |
+
"NCBK9BEM2MPJT67S","JRTCKXETXF","NCBK9BEM2MPJT67S.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000085 per 1K input tokens for Llama 4 Scout 17B in US West (N. California) for Batch","2025-07-01","0","Inf","1K tokens","0.0000850000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Scout-17B-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Llama 4 Scout 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 779 |
"NCNQEYHNUVN8U9V8","JRTCKXETXF","NCNQEYHNUVN8U9V8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00384 per 1K tokens for UGW1-NovaPro-output-tokens in AWS GovCloud (US-West)","2025-07-01","0","Inf","1K tokens","0.0038400000","USD","Amazon Bedrock","AmazonBedrock","AWS GovCloud (US-West)","AWS Region","UGW1-NovaPro-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Pro",,,,"us-gov-west-1","Amazon Bedrock",,
|
| 780 |
"NDS282TRHEV8Y3TH","JRTCKXETXF","NDS282TRHEV8Y3TH.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1 per 1K text units for ContextualGroundingPolicyUnitsConsumed in Asia Pacific (Singapore)","2025-07-01","0","Inf","TextUnit","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Singapore)","AWS Region","APS1-Guardrail-ContextualGroundingPolicyUnitsConsumed","ApplyGuardrail",,,,,,,,,"ContextualGrounding",,"ap-southeast-1","Amazon Bedrock",,
|
| 781 |
"NE73KEACXPHJCGBT","JRTCKXETXF","NE73KEACXPHJCGBT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0009 per 1K input tokens for Llama 3.1 70B Latency Optimized in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0009000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Llama3-1-70B-input-tokens-latency-optimized","",,,,"On-demand Inference",,"Input tokens","Llama 3.1 70B Latency Optimized",,,"Meta","us-east-1","Amazon Bedrock",,
|
|
|
|
| 816 |
"PC72VG9827EX335C","JRTCKXETXF","PC72VG9827EX335C.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.012 per image for TitanImageGeneratorG1-T2I-1024-Premium in US East (N. Virginia)","2025-07-01","0","Inf","image","0.0120000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanImageGeneratorG1-T2I-1024-Premium","",,,,"On-demand Inference",,"T2I 1024 Premium",,,,,"us-east-1","Amazon Bedrock","Titan Image Generator G1",
|
| 817 |
"PCYS8BY7QKG5QDUS","JRTCKXETXF","PCYS8BY7QKG5QDUS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00625 per 1K tokens for USE2-NovaPremier-output-tokens-batch in US East (Ohio)","2025-07-01","0","Inf","1K tokens","0.0062500000","USD","Amazon Bedrock","AmazonBedrock","US East (Ohio)","AWS Region","USE2-NovaPremier-output-tokens-batch","",,,,"Batch Inference",,"Output tokens","Nova Premier",,,,"us-east-2","Amazon Bedrock",,
|
| 818 |
"PDS2FJCB9DD9PJP3","JRTCKXETXF","PDS2FJCB9DD9PJP3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.009 per Minutes Processed for APS3-DataAutomation-Custom-AudioMinutesProcessed in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Minutes Processed","0.0090000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-DataAutomation-Custom-AudioMinutesProcessed","InvokeDataAutomationAsync",,,,"Audio Custom",,,,,,,"ap-south-1","Amazon Bedrock",,
|
| 819 |
+
"PDVZJSUC66T4KK43","JRTCKXETXF","PDVZJSUC66T4KK43.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00024 per 1K input tokens for Llama 4 Maverick 17B in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0002400000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Maverick-17B-input-tokens","",,,,"On-demand Inference",,"Input tokens","Llama 4 Maverick 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 820 |
"PER2E9BA829ZN2SJ","JRTCKXETXF","PER2E9BA829ZN2SJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00024 per 1K tokens for USE1-NovaLite-output-tokens-custom-model in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0002400000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaLite-output-tokens-custom-model","",,,,"Model Customization",,"Output tokens","Nova Lite",,,,"us-east-1","Amazon Bedrock",,
|
| 821 |
"PFUG3APZHMDBR2A9","JRTCKXETXF","PFUG3APZHMDBR2A9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00008 per Images Processed for TitanEmbeddingsG1-Image-input-image in Asia Pacific (Sydney)","2025-07-01","0","Inf","Images Processed","0.0000800000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-TitanEmbeddingsG1-Image-input-image","",,,,"On-demand Inference",,"Input image",,,,,"ap-southeast-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 822 |
"PG4S3SNQSYH78AAB","JRTCKXETXF","PG4S3SNQSYH78AAB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per Fields per Page Processed for APS2-DataAutomation-Custom-PagesProcessed-AddOnFields in Asia Pacific (Sydney)","2025-07-01","0","Inf","Fields per Page Processed","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-DataAutomation-Custom-PagesProcessed-AddOnFields","InvokeDataAutomationAsync",,,,"Documents Custom Ad-on Fields",,,,,,,"ap-southeast-2","Amazon Bedrock",,
|
|
|
|
| 896 |
"RFS8TF39WUBW26YT","JRTCKXETXF","RFS8TF39WUBW26YT.JRTCKXETXF.6YS6EN2CT7","OnDemand","$22.7115 per 1K tokens for TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","22.7115000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanImageGeneratorG1-ProvisionedThroughput-NoCommit-ModelUnits","",,,,"Provisioned Throughput Inference - no commit",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Image Generator G1"
|
| 897 |
"RG9FZH4V58NB6TAQ","JRTCKXETXF","RG9FZH4V58NB6TAQ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0004 per hour for TitanTextG1-Lite-Customization-Training in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0004000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanTextG1-Lite-Customization-Training","",,,,"Model Customization","Training",,,,,,"us-west-2","Amazon Bedrock","Titan Text G1 Lite",
|
| 898 |
"RGKZUPWPJQHESJUB","JRTCKXETXF","RGKZUPWPJQHESJUB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0003 per 1K tokens for TitanTextG1-Lite-output-tokens in Canada (Central)","2025-07-01","0","Inf","1K tokens","0.0003000000","USD","Amazon Bedrock","AmazonBedrock","Canada (Central)","AWS Region","CAN1-TitanTextG1-Lite-output-tokens","",,,,"On-demand Inference",,"Output tokens",,,,,"ca-central-1","Amazon Bedrock","Titan Text G1 Lite",
|
| 899 |
+
"RGN3DB7UPBVGPV6K","JRTCKXETXF","RGN3DB7UPBVGPV6K.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00017 per 1K input tokens for Llama 4 Scout 17B in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0001700000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Scout-17B-input-tokens","",,,,"On-demand Inference",,"Input tokens","Llama 4 Scout 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 900 |
"RHDTAH267YS8KFPA","JRTCKXETXF","RHDTAH267YS8KFPA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00022 per 1K tokens for EUS2-NovaPro-cache-read-input-token-count in Europe (Spain)","2025-07-01","0","Inf","1K tokens","0.0002200000","USD","Amazon Bedrock","AmazonBedrock","Europe (Spain)","AWS Region","EUS2-NovaPro-cache-read-input-token-count","",,,,"On-demand Inference",,"Prompt cache read input tokens","Nova Pro",,,,"eu-south-2","Amazon Bedrock",,
|
| 901 |
"RHR2BJ4QAYCCHKS4","JRTCKXETXF","RHR2BJ4QAYCCHKS4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.001 per 1K tokens for TitanTextG1-Express-input-tokens in Europe (Ireland)","2025-07-01","0","Inf","1K tokens","0.0010000000","USD","Amazon Bedrock","AmazonBedrock","EU (Ireland)","AWS Region","EU-TitanTextG1-Express-input-tokens","",,,,"On-demand Inference",,"Input tokens",,,,,"eu-west-1","Amazon Bedrock","Titan Text G1 Express",
|
| 902 |
"RJJ6JU2922G7A3R4","JRTCKXETXF","RJJ6JU2922G7A3R4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per image for TitanImageGeneratorG1-T2I-512-Premium in US West (Oregon)","2025-07-01","0","Inf","image","0.0100000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorG1-T2I-512-Premium","",,,,"On-demand Inference",,"T2I 512 Premium",,,,,"us-west-2","Amazon Bedrock","Titan Image Generator G1",
|
|
|
|
| 905 |
"RKGGPT96WSG396X9","JRTCKXETXF","RKGGPT96WSG396X9.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0004 per 1K tokens for TitanEmbeddingsG1-Image-input-tokens-batch in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0004000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanEmbeddingsG1-Image-input-tokens-batch","",,,,"BatchInference",,"Input tokens",,,,,"us-west-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 906 |
"RKM7R5K8YUTZ7PGP","JRTCKXETXF","RKM7R5K8YUTZ7PGP.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.022 per image for TitanImageGeneratorG1-Custom-I2I-1024-Premium in US West (Oregon)","2025-07-01","0","Inf","image","0.0220000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorG1-Custom-I2I-1024-Premium","",,,,"On-demand Inference",,"Custom I2I 1024 Premium",,,,,"us-west-2","Amazon Bedrock","Titan Image Generator G1",
|
| 907 |
"RPG2CFHVNM24A75X","JRTCKXETXF","RPG2CFHVNM24A75X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000023 per 1K tokens for EUC1-NovaMicro-input-tokens-batch in EU (Frankfurt)","2025-07-01","0","Inf","1K tokens","0.0000230000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-NovaMicro-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Nova Micro",,,,"eu-central-1","Amazon Bedrock",,
|
| 908 |
+
"RQ6KUZZ6AYXNDRH2","JRTCKXETXF","RQ6KUZZ6AYXNDRH2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00033 per 1K output tokens for Llama 4 Scout 17B in US West (N. California) for Batch","2025-07-01","0","Inf","1K tokens","0.0003300000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Scout-17B-output-tokens-batch","",,,,"Batch Inference",,"Output tokens","Llama 4 Scout 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 909 |
"RQJWZSHKXACMGWGS","JRTCKXETXF","RQJWZSHKXACMGWGS.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per 1K tokens for USW2-NovaMicro-cache-write-input-token-count in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-NovaMicro-cache-write-input-token-count","",,,,"On-demand Inference",,"Prompt cache write input tokens","Nova Micro",,,,"us-west-2","Amazon Bedrock",,
|
| 910 |
"RS4JPUWRVXVJCUCE","JRTCKXETXF","RS4JPUWRVXVJCUCE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0001 per 1K tokens for TitanEmbeddingsG1-Text-input-tokens in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanEmbeddingsG1-Text-input-tokens","",,,,"On-demand Inference",,"Input tokens",,,,,"us-east-1","Amazon Bedrock","Titan Embeddings G1 Text",
|
| 911 |
"RS4URAPPMZPTGQX4","JRTCKXETXF","RS4URAPPMZPTGQX4.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.01 per image for TitanImageGeneratorV2-T2I-1024-Standard in US West (Oregon)","2025-07-01","0","Inf","image","0.0100000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-TitanImageGeneratorV2-T2I-1024-Standard","",,,,"On-demand Inference",,"T2I 1024 Standard",,,,,"us-west-2","Amazon Bedrock","Titan Image Generator V2",
|
|
|
|
| 964 |
"T6MY2REK6JNUD6N2","JRTCKXETXF","T6MY2REK6JNUD6N2.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00 per 1K tokens for USW2-NovaLite-cache-write-input-token-count in US West (Oregon)","2025-07-01","0","Inf","1K tokens","0.0000000000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-NovaLite-cache-write-input-token-count","",,,,"On-demand Inference",,"Prompt cache write input tokens","Nova Lite",,,,"us-west-2","Amazon Bedrock",,
|
| 965 |
"T7BZAS66QDYFX4AR","JRTCKXETXF","T7BZAS66QDYFX4AR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0112 per image for TitanImageGeneratorG1-T2I-512-Premium in Europe (Ireland)","2025-07-01","0","Inf","image","0.0112000000","USD","Amazon Bedrock","AmazonBedrock","EU (Ireland)","AWS Region","EU-TitanImageGeneratorG1-T2I-512-Premium","",,,,"On-demand Inference",,"T2I 512 Premium",,,,,"eu-west-1","Amazon Bedrock","Titan Image Generator G1",
|
| 966 |
"T7QYQTXD6HKEPUVB","JRTCKXETXF","T7QYQTXD6HKEPUVB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$8.5699 per 1K tokens for TitanEmbeddingsG1-Image-ProvisionedThroughput-6months-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","8.5699000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanEmbeddingsG1-Image-ProvisionedThroughput-6months-ModelUnits","",,,,"Provisioned Throughput Inference - 6 months",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Embeddings G1 Image"
|
| 967 |
+
"T9BWHKDWW8SCY7PR","JRTCKXETXF","T9BWHKDWW8SCY7PR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000308 per 1K tokens for USW1-NovaLite-output-tokens in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0003080000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-NovaLite-output-tokens","",,,,"On-demand Inference",,"Output tokens","Nova Lite",,,,"us-west-1","Amazon Bedrock",,
|
| 968 |
"T9CR8TB4GTY89X78","JRTCKXETXF","T9CR8TB4GTY89X78.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.000085 per 1K input tokens for Llama 4 Scout 17B in US West (Oregon) for Batch","2025-07-01","0","Inf","1K tokens","0.0000850000","USD","Amazon Bedrock","AmazonBedrock","US West (Oregon)","AWS Region","USW2-Llama4-Scout-17B-input-tokens-batch","",,,,"Batch Inference",,"Input tokens","Llama 4 Scout 17B",,,"Meta","us-west-2","Amazon Bedrock",,
|
| 969 |
"T9XB9RPQWQX5KTKB","JRTCKXETXF","T9XB9RPQWQX5KTKB.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0005 per 1K tokens for TitanEmbeddingsG1-Image-input-tokens-batch in Asia Pacific (Sydney)","2025-07-01","0","Inf","1K tokens","0.0005000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Sydney)","AWS Region","APS2-TitanEmbeddingsG1-Image-input-tokens-batch","",,,,"BatchInference",,"Input tokens",,,,,"ap-southeast-2","Amazon Bedrock","Titan Embeddings G1 Image",
|
| 970 |
"TAUKZA4EVCYGWCFF","JRTCKXETXF","TAUKZA4EVCYGWCFF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per Model/month for TitanTextG1-Lite-Customization-Storage in US East (N. Virginia)","2025-07-01","0","Inf","Model/month","1.9500000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-TitanTextG1-Lite-Customization-Storage","",,,,"Model Customization","Storage",,,,,,"us-east-1","Amazon Bedrock","Titan Text G1 Lite",
|
|
|
|
| 1238 |
"ZJ6KM9CSPK4EKKMJ","JRTCKXETXF","ZJ6KM9CSPK4EKKMJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","$16.4028 per 1K tokens for TitanImageGeneratorG1-ProvisionedThroughput-6months-ModelUnits in Europe (London)","2025-07-01","0","Inf","hour","16.4028000000","USD","Amazon Bedrock","AmazonBedrock","EU (London)","AWS Region","EUW2-TitanImageGeneratorG1-ProvisionedThroughput-6months-ModelUnits","",,,,"Provisioned Throughput Inference - 6 months",,,,,,,"eu-west-2","Amazon Bedrock",,"Titan Image Generator G1"
|
| 1239 |
"ZJCQUFWG7UVM3PYM","JRTCKXETXF","ZJCQUFWG7UVM3PYM.JRTCKXETXF.6YS6EN2CT7","OnDemand","$1.95 per Custom Model Unit per Month for Storage for Llama architecture models in EU (Frankfurt)","2025-07-01","0","Inf","Model/month","1.9500000000","USD","Amazon Bedrock","AmazonBedrock","EU (Frankfurt)","AWS Region","EUC1-Llama-CustomModelImport-Storage-v1:0","","Llama","Llama","v1.0","Custom Model Import","Storage",,,,,,"eu-central-1","Amazon Bedrock",,
|
| 1240 |
"ZKCCTPJXTF33WCT5","JRTCKXETXF","ZKCCTPJXTF33WCT5.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.1 per 1K text units for ContextualGroundingPolicyUnitsConsumed in US East (N. Virginia)","2025-07-01","0","Inf","TextUnit","0.0001000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Guardrail-ContextualGroundingPolicyUnitsConsumed","ApplyGuardrail",,,,,,,,,"ContextualGrounding",,"us-east-1","Amazon Bedrock",,
|
| 1241 |
+
"ZKCM7TMKJ3YFDHWR","JRTCKXETXF","ZKCM7TMKJ3YFDHWR.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00097 per 1K output tokens for Llama 4 Maverick 17B in US West (N. California)","2025-07-01","0","Inf","1K tokens","0.0009700000","USD","Amazon Bedrock","AmazonBedrock","US West (N. California)","AWS Region","USW1-Llama4-Maverick-17B-output-tokens","",,,,"On-demand Inference",,"Output tokens","Llama 4 Maverick 17B",,,"Meta","us-west-1","Amazon Bedrock",,
|
| 1242 |
"ZQ5FR9UVF8V64SX8","JRTCKXETXF","ZQ5FR9UVF8V64SX8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.00000875 per 1K cache read input tokens of Nova Micro in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0000087500","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-NovaMicro-cache-read-input-token-count","",,,,"On-demand Inference",,"Prompt cache read input tokens","Nova Micro",,,,"us-east-1","Amazon Bedrock",,
|
| 1243 |
"ZQNN2AJ3AVRDM8E6","JRTCKXETXF","ZQNN2AJ3AVRDM8E6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.006 per Minutes Processed for APS3-DataAutomation-Standard-AudioMinutesProcessed in Asia Pacific (Mumbai)","2025-07-01","0","Inf","Minutes Processed","0.0060000000","USD","Amazon Bedrock","AmazonBedrock","Asia Pacific (Mumbai)","AWS Region","APS3-DataAutomation-Standard-AudioMinutesProcessed","InvokeDataAutomationAsync",,,,"Audio Standard",,,,,,,"ap-south-1","Amazon Bedrock",,
|
| 1244 |
"ZRT87PRQNK45SC6F","JRTCKXETXF","ZRT87PRQNK45SC6F.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0009 per 1K output tokens for Llama 3.1 70B Latency Optimized in US East (N. Virginia)","2025-07-01","0","Inf","1K tokens","0.0009000000","USD","Amazon Bedrock","AmazonBedrock","US East (N. Virginia)","AWS Region","USE1-Llama3-1-70B-output-tokens-latency-optimized","",,,,"On-demand Inference",,"Output tokens","Llama 3.1 70B Latency Optimized",,,"Meta","us-east-1","Amazon Bedrock",,
|
AmazonCognito.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AmazonConnect.csv
CHANGED
|
@@ -100,6 +100,7 @@
|
|
| 100 |
"732ZVCKW7SXTPUFJ","JRTCKXETXF","732ZVCKW7SXTPUFJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","Email messages handled","2025-07-01","0","Inf","Messages","0.0500000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-email-message","",,"ap-northeast-2","Amazon Connect"
|
| 101 |
"733RTTC22P9C6N3T","JRTCKXETXF","733RTTC22P9C6N3T.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Outbound Campaigns","2025-07-01","0","Inf","Minute","0.0450000000","USD","AmazonConnect","AmazonConnect","US West (Oregon)","AWS Region","USW2-ai-high-volume-traffic-end-customer-mins","",,"us-west-2","Amazon Connect"
|
| 102 |
"7348BTDUT7DHGKFA","JRTCKXETXF","7348BTDUT7DHGKFA.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Email Message GR","2025-07-01","0","Inf","Messages","0.1150000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-ai-multi-region-email-messages","",,"ap-southeast-1","Amazon Connect"
|
|
|
|
| 103 |
"743V583V5DW2782P","JRTCKXETXF","743V583V5DW2782P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0144 per Message for Global-Resiliency- WhatsApp-Business-messages-serviced in Asia Pacific (Seoul)","2025-07-01","0","Inf","Messages","0.0144000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-multi-region-WBM-message","",,"ap-northeast-2","Amazon Connect"
|
| 104 |
"755GVBVPZ66SHR53","JRTCKXETXF","755GVBVPZ66SHR53.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Agents Evaluated","2025-07-01","0","Inf","Count","0.0000000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-ai-agents-evaluated","",,"ap-northeast-2","Amazon Connect"
|
| 105 |
"79TM6NTJ57HBHQYH","JRTCKXETXF","79TM6NTJ57HBHQYH.JRTCKXETXF.6YS6EN2CT7","OnDemand","Voice transfer external minutes GR","2025-07-01","0","Inf","Minutes","0.0072000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-multi-region-external-voice-transfer-mins","",,"ap-northeast-1","Amazon Connect"
|
|
@@ -343,6 +344,7 @@
|
|
| 343 |
"K7KPEFMHVZTSQHFY","JRTCKXETXF","K7KPEFMHVZTSQHFY.JRTCKXETXF.C2QCTD4VXQ","OnDemand","Chat messages used","2025-07-01","0","500","Messages","0.0000000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-chat-message","",,"af-south-1","Amazon Connect"
|
| 344 |
"K7KPEFMHVZTSQHFY","JRTCKXETXF","K7KPEFMHVZTSQHFY.JRTCKXETXF.TAV9HKW45C","OnDemand","Chat messages used","2025-07-01","500","Inf","Messages","0.0040000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-chat-message","",,"af-south-1","Amazon Connect"
|
| 345 |
"K8USCPURK8CN3P3U","JRTCKXETXF","K8USCPURK8CN3P3U.JRTCKXETXF.6YS6EN2CT7","OnDemand","Global Resiliency AMB messages serviced","2025-07-01","0","Inf","Messages","0.0144000000","USD","AmazonConnect","AmazonConnect","Canada (Central)","AWS Region","CAN1-multi-region-AMB-message","",,"ca-central-1","Amazon Connect"
|
|
|
|
| 346 |
"K9MMGR6SJRXEUFEN","JRTCKXETXF","K9MMGR6SJRXEUFEN.JRTCKXETXF.ETY2894C67","OnDemand","Tasks created","2025-07-01","0","100","Tasks","0.0000000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-tasks","",,"af-south-1","Amazon Connect"
|
| 347 |
"K9MMGR6SJRXEUFEN","JRTCKXETXF","K9MMGR6SJRXEUFEN.JRTCKXETXF.JBQRCS5NHT","OnDemand","Tasks created","2025-07-01","100","Inf","Tasks","0.0400000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-tasks","",,"af-south-1","Amazon Connect"
|
| 348 |
"KAD9JXEA4JB87QKD","JRTCKXETXF","KAD9JXEA4JB87QKD.JRTCKXETXF.6YS6EN2CT7","OnDemand","Screen sharing minutes used","2025-07-01","0","Inf","Minute","0.0150000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-screen-sharing-mins","",,"ap-southeast-1","Amazon Connect"
|
|
@@ -596,6 +598,7 @@
|
|
| 596 |
"YGHS3AGFEHFPP746","JRTCKXETXF","YGHS3AGFEHFPP746.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Agents Evaluated","2025-07-01","0","Inf","Count","0.0000000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-ai-agents-evaluated","",,"ap-south-1","Amazon Connect"
|
| 597 |
"YH5CWCUDKYJD9E7Q","JRTCKXETXF","YH5CWCUDKYJD9E7Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Email Message","2025-07-01","0","Inf","Messages","0.0800000000","USD","AmazonConnect","AmazonConnect","EU (Frankfurt)","AWS Region","EUC1-ai-email-message","",,"eu-central-1","Amazon Connect"
|
| 598 |
"YKFT2TB9VCZ89BF9","JRTCKXETXF","YKFT2TB9VCZ89BF9.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI WhatsApp Business messaging GR","2025-07-01","0","Inf","Messages","0.0202000000","USD","AmazonConnect","AmazonConnect","Canada (Central)","AWS Region","CAN1-ai-multi-region-WBM-message","",,"ca-central-1","Amazon Connect"
|
|
|
|
| 599 |
"YKPFVFDDUDGNY9P6","JRTCKXETXF","YKPFVFDDUDGNY9P6.JRTCKXETXF.6YS6EN2CT7","OnDemand","Global Resiliency AMB messages serviced","2025-07-01","0","Inf","Messages","0.0144000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-multi-region-AMB-message","",,"af-south-1","Amazon Connect"
|
| 600 |
"YMDD2ZZHU3F87G7K","JRTCKXETXF","YMDD2ZZHU3F87G7K.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Outbound Campaigns GR","2025-07-01","0","Inf","Minute","0.0650000000","USD","AmazonConnect","AmazonConnect","US West (Oregon)","AWS Region","USW2-ai-multi-region-high-volume-traffic-end-customer-mins","",,"us-west-2","Amazon Connect"
|
| 601 |
"YMYV4NCAXWFHQBJ6","JRTCKXETXF","YMYV4NCAXWFHQBJ6.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound Campaigns Email sent ","2025-07-01","0","Inf","Messages","0.0050000000","USD","AmazonConnect","AmazonConnect","EU (Frankfurt)","AWS Region","EUC1-Outbound-Campaigns-Email-Sent","",,"eu-central-1","Amazon Connect"
|
|
|
|
| 100 |
"732ZVCKW7SXTPUFJ","JRTCKXETXF","732ZVCKW7SXTPUFJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","Email messages handled","2025-07-01","0","Inf","Messages","0.0500000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-email-message","",,"ap-northeast-2","Amazon Connect"
|
| 101 |
"733RTTC22P9C6N3T","JRTCKXETXF","733RTTC22P9C6N3T.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Outbound Campaigns","2025-07-01","0","Inf","Minute","0.0450000000","USD","AmazonConnect","AmazonConnect","US West (Oregon)","AWS Region","USW2-ai-high-volume-traffic-end-customer-mins","",,"us-west-2","Amazon Connect"
|
| 102 |
"7348BTDUT7DHGKFA","JRTCKXETXF","7348BTDUT7DHGKFA.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Email Message GR","2025-07-01","0","Inf","Messages","0.1150000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-ai-multi-region-email-messages","",,"ap-southeast-1","Amazon Connect"
|
| 103 |
+
"73E98MEVEHJF2H8C","JRTCKXETXF","73E98MEVEHJF2H8C.JRTCKXETXF.6YS6EN2CT7","OnDemand","High volume traffic used","2025-07-01","0","Inf","Minute","0.0250000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-high-volume-traffic-end-customer-mins","",,"ap-northeast-1","Amazon Connect"
|
| 104 |
"743V583V5DW2782P","JRTCKXETXF","743V583V5DW2782P.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0144 per Message for Global-Resiliency- WhatsApp-Business-messages-serviced in Asia Pacific (Seoul)","2025-07-01","0","Inf","Messages","0.0144000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-multi-region-WBM-message","",,"ap-northeast-2","Amazon Connect"
|
| 105 |
"755GVBVPZ66SHR53","JRTCKXETXF","755GVBVPZ66SHR53.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Agents Evaluated","2025-07-01","0","Inf","Count","0.0000000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-ai-agents-evaluated","",,"ap-northeast-2","Amazon Connect"
|
| 106 |
"79TM6NTJ57HBHQYH","JRTCKXETXF","79TM6NTJ57HBHQYH.JRTCKXETXF.6YS6EN2CT7","OnDemand","Voice transfer external minutes GR","2025-07-01","0","Inf","Minutes","0.0072000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-multi-region-external-voice-transfer-mins","",,"ap-northeast-1","Amazon Connect"
|
|
|
|
| 344 |
"K7KPEFMHVZTSQHFY","JRTCKXETXF","K7KPEFMHVZTSQHFY.JRTCKXETXF.C2QCTD4VXQ","OnDemand","Chat messages used","2025-07-01","0","500","Messages","0.0000000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-chat-message","",,"af-south-1","Amazon Connect"
|
| 345 |
"K7KPEFMHVZTSQHFY","JRTCKXETXF","K7KPEFMHVZTSQHFY.JRTCKXETXF.TAV9HKW45C","OnDemand","Chat messages used","2025-07-01","500","Inf","Messages","0.0040000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-chat-message","",,"af-south-1","Amazon Connect"
|
| 346 |
"K8USCPURK8CN3P3U","JRTCKXETXF","K8USCPURK8CN3P3U.JRTCKXETXF.6YS6EN2CT7","OnDemand","Global Resiliency AMB messages serviced","2025-07-01","0","Inf","Messages","0.0144000000","USD","AmazonConnect","AmazonConnect","Canada (Central)","AWS Region","CAN1-multi-region-AMB-message","",,"ca-central-1","Amazon Connect"
|
| 347 |
+
"K9CAGMYET69HP8PT","JRTCKXETXF","K9CAGMYET69HP8PT.JRTCKXETXF.6YS6EN2CT7","OnDemand","High volume traffic used","2025-07-01","0","Inf","Minute","0.0250000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-high-volume-traffic-end-customer-mins","",,"ap-southeast-1","Amazon Connect"
|
| 348 |
"K9MMGR6SJRXEUFEN","JRTCKXETXF","K9MMGR6SJRXEUFEN.JRTCKXETXF.ETY2894C67","OnDemand","Tasks created","2025-07-01","0","100","Tasks","0.0000000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-tasks","",,"af-south-1","Amazon Connect"
|
| 349 |
"K9MMGR6SJRXEUFEN","JRTCKXETXF","K9MMGR6SJRXEUFEN.JRTCKXETXF.JBQRCS5NHT","OnDemand","Tasks created","2025-07-01","100","Inf","Tasks","0.0400000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-tasks","",,"af-south-1","Amazon Connect"
|
| 350 |
"KAD9JXEA4JB87QKD","JRTCKXETXF","KAD9JXEA4JB87QKD.JRTCKXETXF.6YS6EN2CT7","OnDemand","Screen sharing minutes used","2025-07-01","0","Inf","Minute","0.0150000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-screen-sharing-mins","",,"ap-southeast-1","Amazon Connect"
|
|
|
|
| 598 |
"YGHS3AGFEHFPP746","JRTCKXETXF","YGHS3AGFEHFPP746.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Agents Evaluated","2025-07-01","0","Inf","Count","0.0000000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-ai-agents-evaluated","",,"ap-south-1","Amazon Connect"
|
| 599 |
"YH5CWCUDKYJD9E7Q","JRTCKXETXF","YH5CWCUDKYJD9E7Q.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Email Message","2025-07-01","0","Inf","Messages","0.0800000000","USD","AmazonConnect","AmazonConnect","EU (Frankfurt)","AWS Region","EUC1-ai-email-message","",,"eu-central-1","Amazon Connect"
|
| 600 |
"YKFT2TB9VCZ89BF9","JRTCKXETXF","YKFT2TB9VCZ89BF9.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI WhatsApp Business messaging GR","2025-07-01","0","Inf","Messages","0.0202000000","USD","AmazonConnect","AmazonConnect","Canada (Central)","AWS Region","CAN1-ai-multi-region-WBM-message","",,"ca-central-1","Amazon Connect"
|
| 601 |
+
"YKM9JVGSFT64DJYN","JRTCKXETXF","YKM9JVGSFT64DJYN.JRTCKXETXF.6YS6EN2CT7","OnDemand","High volume traffic used","2025-07-01","0","Inf","Minute","0.0250000000","USD","AmazonConnect","AmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-high-volume-traffic-end-customer-mins","",,"ap-northeast-2","Amazon Connect"
|
| 602 |
"YKPFVFDDUDGNY9P6","JRTCKXETXF","YKPFVFDDUDGNY9P6.JRTCKXETXF.6YS6EN2CT7","OnDemand","Global Resiliency AMB messages serviced","2025-07-01","0","Inf","Messages","0.0144000000","USD","AmazonConnect","AmazonConnect","Africa (Cape Town)","AWS Region","AFS1-multi-region-AMB-message","",,"af-south-1","Amazon Connect"
|
| 603 |
"YMDD2ZZHU3F87G7K","JRTCKXETXF","YMDD2ZZHU3F87G7K.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Outbound Campaigns GR","2025-07-01","0","Inf","Minute","0.0650000000","USD","AmazonConnect","AmazonConnect","US West (Oregon)","AWS Region","USW2-ai-multi-region-high-volume-traffic-end-customer-mins","",,"us-west-2","Amazon Connect"
|
| 604 |
"YMYV4NCAXWFHQBJ6","JRTCKXETXF","YMYV4NCAXWFHQBJ6.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound Campaigns Email sent ","2025-07-01","0","Inf","Messages","0.0050000000","USD","AmazonConnect","AmazonConnect","EU (Frankfurt)","AWS Region","EUC1-Outbound-Campaigns-Email-Sent","",,"eu-central-1","Amazon Connect"
|
AmazonConnectCases.csv
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Connect_CaseManagement","Region Code","serviceName"
|
|
|
|
| 2 |
"9TQ9M3HH6F24R2DJ","JRTCKXETXF","9TQ9M3HH6F24R2DJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","You will be billed per case created.","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","US West (Oregon)","AWS Region","us-west-2-case-created","","0","us-west-2","AmazonConnectCases"
|
| 3 |
"KY6RSK2X9TC2QA3W","JRTCKXETXF","KY6RSK2X9TC2QA3W.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.12 per cases for in Canada (Central)","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","Canada (Central)","AWS Region","ca-central-1-case-created","","0","ca-central-1","AmazonConnectCases"
|
| 4 |
"N9MSBATNS8NCMTT8","JRTCKXETXF","N9MSBATNS8NCMTT8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.12 per cases for in Asia Pacific (Tokyo)","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","Asia Pacific (Tokyo)","AWS Region","ap-northeast-1-case-created","","0","ap-northeast-1","AmazonConnectCases"
|
|
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Connect_CaseManagement","Region Code","serviceName"
|
| 2 |
+
"2XDW3VPPAYQX3SR8","JRTCKXETXF","2XDW3VPPAYQX3SR8.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.12 per cases in Africa (Cape Town)","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","Africa (Cape Town)","AWS Region","af-south-1-case-created","","0","af-south-1","AmazonConnectCases"
|
| 3 |
"9TQ9M3HH6F24R2DJ","JRTCKXETXF","9TQ9M3HH6F24R2DJ.JRTCKXETXF.6YS6EN2CT7","OnDemand","You will be billed per case created.","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","US West (Oregon)","AWS Region","us-west-2-case-created","","0","us-west-2","AmazonConnectCases"
|
| 4 |
"KY6RSK2X9TC2QA3W","JRTCKXETXF","KY6RSK2X9TC2QA3W.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.12 per cases for in Canada (Central)","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","Canada (Central)","AWS Region","ca-central-1-case-created","","0","ca-central-1","AmazonConnectCases"
|
| 5 |
"N9MSBATNS8NCMTT8","JRTCKXETXF","N9MSBATNS8NCMTT8.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.12 per cases for in Asia Pacific (Tokyo)","2025-06-01","0","Inf","cases","0.1200000000","USD","AmazonConnect","AmazonConnectCases","Asia Pacific (Tokyo)","AWS Region","ap-northeast-1-case-created","","0","ap-northeast-1","AmazonConnectCases"
|
AmazonDocDB.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AmazonDynamoDB.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AmazonEC2.csv
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb94e08086187627aa7a7ddb625915eda1aaee8fd65a7c5bc6f10858d26ab6f1
|
| 3 |
+
size 4895685544
|
AmazonES.csv
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4755498cdb361aa6e710f9cfc50b08d4e261dd3c293f50cdc0c5dc19cdd5ef5a
|
| 3 |
+
size 17759262
|
AmazonKinesisVideo.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AmazonRDS.csv
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:208cd87f5e465b30d5834096202a3d6a04c1a37d41e3acce66ea8f5494f91919
|
| 3 |
+
size 260483779
|
AmazonRedshift.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AmazonSES.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
AmazonWorkSpaces.csv
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
ContactCenterTelecomm.csv
CHANGED
|
@@ -4226,7 +4226,7 @@
|
|
| 4226 |
"M5Q2MRDM7DN7KVU9","JRTCKXETXF","M5Q2MRDM7DN7KVU9.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Solomon Islands","2025-07-01","0","Inf","Minute","1.5840000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Africa (Cape Town)","AWS Region","AFS1-SB-outbound-mins","","Toll","Solomon Islands","Outbound Call","af-south-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4227 |
"M5WG2MY93AFNXA4N","JRTCKXETXF","M5WG2MY93AFNXA4N.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Armenia","2025-07-01","0","Inf","minute","0.6214000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Asia Pacific (Singapore)","AWS Region","APS1-AM-outbound-mins","","Toll","Armenia","Outbound Call","ap-southeast-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4228 |
"M5WQPPBB3N9DC89Y","JRTCKXETXF","M5WQPPBB3N9DC89Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","Toll Free days of use for Italy","2025-07-01","0","Inf","count","0.4200000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","US West (Oregon)","AWS Region","USW2-IT-tollfree-numbers","","Toll Free","Italy","Toll Free Line","us-west-2","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4229 |
-
"M5YHTJS673GCC3E3","JRTCKXETXF","M5YHTJS673GCC3E3.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound
|
| 4230 |
"M65AWRD64SZ6H32X","JRTCKXETXF","M65AWRD64SZ6H32X.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Honduras","2025-07-01","0","Inf","Minute","0.2868000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Canada (Central)","AWS Region","CAN1-HN-outbound-mins","","Toll","Honduras","Outbound Call","ca-central-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4231 |
"M675U4DT5M4EV9Q3","JRTCKXETXF","M675U4DT5M4EV9Q3.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Italy","2025-07-01","0","Inf","minute","0.2695000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","US East (N. Virginia)","AWS Region","USE1-IT-outbound-mins","","Toll","Italy","Outbound Call","us-east-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4232 |
"M6A2GM6NMHEAPD8A","JRTCKXETXF","M6A2GM6NMHEAPD8A.JRTCKXETXF.6YS6EN2CT7","OnDemand","Inbound DID minutes for United States of America","2025-07-01","0","Inf","minute","0.0040000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","EU (Frankfurt)","AWS Region","EUC1-US-did-inbound-mins","","Toll","United States","Inbound Call","eu-central-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
|
|
|
| 4226 |
"M5Q2MRDM7DN7KVU9","JRTCKXETXF","M5Q2MRDM7DN7KVU9.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Solomon Islands","2025-07-01","0","Inf","Minute","1.5840000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Africa (Cape Town)","AWS Region","AFS1-SB-outbound-mins","","Toll","Solomon Islands","Outbound Call","af-south-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4227 |
"M5WG2MY93AFNXA4N","JRTCKXETXF","M5WG2MY93AFNXA4N.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Armenia","2025-07-01","0","Inf","minute","0.6214000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Asia Pacific (Singapore)","AWS Region","APS1-AM-outbound-mins","","Toll","Armenia","Outbound Call","ap-southeast-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4228 |
"M5WQPPBB3N9DC89Y","JRTCKXETXF","M5WQPPBB3N9DC89Y.JRTCKXETXF.6YS6EN2CT7","OnDemand","Toll Free days of use for Italy","2025-07-01","0","Inf","count","0.4200000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","US West (Oregon)","AWS Region","USW2-IT-tollfree-numbers","","Toll Free","Italy","Toll Free Line","us-west-2","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4229 |
+
"M5YHTJS673GCC3E3","JRTCKXETXF","M5YHTJS673GCC3E3.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.02 per Minute - Toll Outbound Call for South Africa in Africa (Cape Town)","2025-07-01","0","Inf","Minute","0.0200000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Africa (Cape Town)","AWS Region","AFS1-ZA-outbound-mins","","Toll","South Africa","Outbound Call","af-south-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4230 |
"M65AWRD64SZ6H32X","JRTCKXETXF","M65AWRD64SZ6H32X.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Honduras","2025-07-01","0","Inf","Minute","0.2868000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","Canada (Central)","AWS Region","CAN1-HN-outbound-mins","","Toll","Honduras","Outbound Call","ca-central-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4231 |
"M675U4DT5M4EV9Q3","JRTCKXETXF","M675U4DT5M4EV9Q3.JRTCKXETXF.6YS6EN2CT7","OnDemand","Outbound minutes to Italy","2025-07-01","0","Inf","minute","0.2695000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","US East (N. Virginia)","AWS Region","USE1-IT-outbound-mins","","Toll","Italy","Outbound Call","us-east-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
| 4232 |
"M6A2GM6NMHEAPD8A","JRTCKXETXF","M6A2GM6NMHEAPD8A.JRTCKXETXF.6YS6EN2CT7","OnDemand","Inbound DID minutes for United States of America","2025-07-01","0","Inf","minute","0.0040000000","USD","ContactCenterTelecomm","ContactCenterTelecomm","EU (Frankfurt)","AWS Region","EUC1-US-did-inbound-mins","","Toll","United States","Inbound Call","eu-central-1","Contact Center Telecommunications (service sold by AMCS, LLC)"
|
ContactLensAmazonConnect.csv
CHANGED
|
@@ -1,59 +1,59 @@
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Analytics Mode","Analytics Type","MaxPackage","Region Code","serviceName"
|
| 2 |
-
"2BNZAHJ4A3CRKA7E","JRTCKXETXF","2BNZAHJ4A3CRKA7E.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for VoiceAnalytics in Asia Pacific (Seoul)","2025-
|
| 3 |
-
"2BNZAHJ4A3CRKA7E","JRTCKXETXF","2BNZAHJ4A3CRKA7E.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute for VoiceAnalytics in Asia Pacific (Seoul)","2025-
|
| 4 |
-
"2CY5NT6452GW2ZTE","JRTCKXETXF","2CY5NT6452GW2ZTE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Singapore)","2025-
|
| 5 |
-
"3AGUJQFV67QFTWD5","JRTCKXETXF","3AGUJQFV67QFTWD5.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in EU (London)","2025-
|
| 6 |
-
"3AGUJQFV67QFTWD5","JRTCKXETXF","3AGUJQFV67QFTWD5.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in EU (London)","2025-
|
| 7 |
-
"5HA7UJ2T3BHXQ3CD","JRTCKXETXF","5HA7UJ2T3BHXQ3CD.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Singapore)","2025-
|
| 8 |
-
"5HA7UJ2T3BHXQ3CD","JRTCKXETXF","5HA7UJ2T3BHXQ3CD.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Singapore)","2025-
|
| 9 |
-
"5WQAQ7E4M625EDGR","JRTCKXETXF","5WQAQ7E4M625EDGR.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute from 0 to 5,000,000 minutes for VoiceAnalytics in AWS GovCloud (US-West)","2025-
|
| 10 |
-
"5WQAQ7E4M625EDGR","JRTCKXETXF","5WQAQ7E4M625EDGR.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute from 5,000,000 minutes for VoiceAnalytics in AWS GovCloud (US-West)","2025-
|
| 11 |
-
"64RSKHZJPNGBYM25","JRTCKXETXF","64RSKHZJPNGBYM25.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in US East (N. Virginia)","2025-
|
| 12 |
-
"6NJ94SKFTV8WGY62","JRTCKXETXF","6NJ94SKFTV8WGY62.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 13 |
-
"773SDZNR8FSNMV8D","JRTCKXETXF","773SDZNR8FSNMV8D.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Tokyo)","2025-
|
| 14 |
-
"773SDZNR8FSNMV8D","JRTCKXETXF","773SDZNR8FSNMV8D.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Tokyo)","2025-
|
| 15 |
-
"7DGBUSSM5HA9A5YD","JRTCKXETXF","7DGBUSSM5HA9A5YD.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 16 |
-
"7MZ5KK5U4ZVG4UW3","JRTCKXETXF","7MZ5KK5U4ZVG4UW3.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 17 |
-
"87FFZQJEBQFFM6DP","JRTCKXETXF","87FFZQJEBQFFM6DP.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 18 |
-
"88TRMVC8XDD8QXQE","JRTCKXETXF","88TRMVC8XDD8QXQE.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 19 |
-
"8UNG8CEERAQZTF99","JRTCKXETXF","8UNG8CEERAQZTF99.JRTCKXETXF.4GGFUHBAHK","OnDemand","USD0.015 per minute for VoiceAnalytics:VoiceAnalytics in Africa (Cape Town)","2025-
|
| 20 |
-
"8UNG8CEERAQZTF99","JRTCKXETXF","8UNG8CEERAQZTF99.JRTCKXETXF.XCXBHCFFQ2","OnDemand","USD0.0125 per minute for VoiceAnalytics:VoiceAnalytics in Africa (Cape Town)","2025-
|
| 21 |
-
"98NZF4MREG9GX62S","JRTCKXETXF","98NZF4MREG9GX62S.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in US East (N. Virginia)","2025-
|
| 22 |
-
"98NZF4MREG9GX62S","JRTCKXETXF","98NZF4MREG9GX62S.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in US East (N. Virginia)","2025-
|
| 23 |
-
"ARJT6GXES6YA3ZEY","JRTCKXETXF","ARJT6GXES6YA3ZEY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in EU (London)","2025-
|
| 24 |
-
"B77ZJPAE26CJHXK9","JRTCKXETXF","B77ZJPAE26CJHXK9.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 25 |
-
"CD8ANTASR9C8HSPN","JRTCKXETXF","CD8ANTASR9C8HSPN.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for VoiceAnalytics in Canada (Central)","2025-
|
| 26 |
-
"CD8ANTASR9C8HSPN","JRTCKXETXF","CD8ANTASR9C8HSPN.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute for VoiceAnalytics in Canada (Central)","2025-
|
| 27 |
-
"CXHXDMC57ZKH4NKA","JRTCKXETXF","CXHXDMC57ZKH4NKA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in EU (Frankfurt)","2025-
|
| 28 |
-
"DS2CZHPBCGDQ4GKH","JRTCKXETXF","DS2CZHPBCGDQ4GKH.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 29 |
-
"E552M44U66FRXN4A","JRTCKXETXF","E552M44U66FRXN4A.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 30 |
-
"EHSF6MVPJKCWCCFX","JRTCKXETXF","EHSF6MVPJKCWCCFX.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 31 |
-
"F9VG22YE3DRH8XY7","JRTCKXETXF","F9VG22YE3DRH8XY7.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 32 |
-
"GCX737FF6A7XDY8C","JRTCKXETXF","GCX737FF6A7XDY8C.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in EU (Frankfurt)","2025-
|
| 33 |
-
"GCX737FF6A7XDY8C","JRTCKXETXF","GCX737FF6A7XDY8C.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in EU (Frankfurt)","2025-
|
| 34 |
-
"HCU5JBS2WXS5XR9U","JRTCKXETXF","HCU5JBS2WXS5XR9U.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in US West (Oregon)","2025-
|
| 35 |
-
"HCU5JBS2WXS5XR9U","JRTCKXETXF","HCU5JBS2WXS5XR9U.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in US West (Oregon)","2025-
|
| 36 |
-
"HUZ96K6ZVX7BTMSN","JRTCKXETXF","HUZ96K6ZVX7BTMSN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Mumbai)","2025-
|
| 37 |
-
"JETBVTXW93FA9VRU","JRTCKXETXF","JETBVTXW93FA9VRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Canada (Central)","2025-
|
| 38 |
-
"K5TCHN8NF5QXGXB6","JRTCKXETXF","K5TCHN8NF5QXGXB6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in US West (Oregon)","2025-
|
| 39 |
-
"MERVN2MA2TWR593V","JRTCKXETXF","MERVN2MA2TWR593V.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Sydney)","2025-
|
| 40 |
-
"MPPBGX79SJZG8Y8Z","JRTCKXETXF","MPPBGX79SJZG8Y8Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 41 |
-
"PVBW3D9H5WHUDGD6","JRTCKXETXF","PVBW3D9H5WHUDGD6.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 42 |
-
"Q2DCCNPMFGKGD46C","JRTCKXETXF","Q2DCCNPMFGKGD46C.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 43 |
-
"QEDH8S56ZVVFV8YT","JRTCKXETXF","QEDH8S56ZVVFV8YT.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 44 |
-
"QFVT4RW9C7MF573B","JRTCKXETXF","QFVT4RW9C7MF573B.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.0015 per message for ChatAnalytics:ChatAnalytics in Africa (Cape Town)","2025-
|
| 45 |
-
"QV6KKUJU6E6P5QXE","JRTCKXETXF","QV6KKUJU6E6P5QXE.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 46 |
-
"TNZEJ8HZZB8NN43X","JRTCKXETXF","TNZEJ8HZZB8NN43X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Tokyo)","2025-
|
| 47 |
-
"TPQA75ZMTT8EDRT8","JRTCKXETXF","TPQA75ZMTT8EDRT8.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 48 |
-
"UTET4D5YPEYBJNTF","JRTCKXETXF","UTET4D5YPEYBJNTF.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 49 |
-
"V8UNG7NGU69RUD9X","JRTCKXETXF","V8UNG7NGU69RUD9X.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-
|
| 50 |
-
"VBJGMVRE23MS73SU","JRTCKXETXF","VBJGMVRE23MS73SU.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 51 |
-
"VHNRU5MECF3B2B2H","JRTCKXETXF","VHNRU5MECF3B2B2H.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Mumbai)","2025-
|
| 52 |
-
"VHNRU5MECF3B2B2H","JRTCKXETXF","VHNRU5MECF3B2B2H.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Mumbai)","2025-
|
| 53 |
-
"VQFH7M9RM6R4K4EU","JRTCKXETXF","VQFH7M9RM6R4K4EU.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 54 |
-
"W3FU5AVZQK7PJKNU","JRTCKXETXF","W3FU5AVZQK7PJKNU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in AWS GovCloud (US-West)","2025-
|
| 55 |
-
"W4ZCHQ795EVM32VF","JRTCKXETXF","W4ZCHQ795EVM32VF.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
| 56 |
-
"XADB7F82QGQEM8JF","JRTCKXETXF","XADB7F82QGQEM8JF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Seoul)","2025-
|
| 57 |
-
"ZKKTK2MQSFYRFT3X","JRTCKXETXF","ZKKTK2MQSFYRFT3X.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Sydney)","2025-
|
| 58 |
-
"ZKKTK2MQSFYRFT3X","JRTCKXETXF","ZKKTK2MQSFYRFT3X.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Sydney)","2025-
|
| 59 |
-
"ZW4BDZVQHR768PVZ","JRTCKXETXF","ZW4BDZVQHR768PVZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-
|
|
|
|
| 1 |
"SKU","OfferTermCode","RateCode","TermType","PriceDescription","EffectiveDate","StartingRange","EndingRange","Unit","PricePerUnit","Currency","Product Family","serviceCode","Location","Location Type","usageType","operation","Analytics Mode","Analytics Type","MaxPackage","Region Code","serviceName"
|
| 2 |
+
"2BNZAHJ4A3CRKA7E","JRTCKXETXF","2BNZAHJ4A3CRKA7E.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for VoiceAnalytics in Asia Pacific (Seoul)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-northeast-2","Contact Lens for Amazon Connect"
|
| 3 |
+
"2BNZAHJ4A3CRKA7E","JRTCKXETXF","2BNZAHJ4A3CRKA7E.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute for VoiceAnalytics in Asia Pacific (Seoul)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-northeast-2","Contact Lens for Amazon Connect"
|
| 4 |
+
"2CY5NT6452GW2ZTE","JRTCKXETXF","2CY5NT6452GW2ZTE.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Singapore)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","ap-southeast-1","Contact Lens for Amazon Connect"
|
| 5 |
+
"3AGUJQFV67QFTWD5","JRTCKXETXF","3AGUJQFV67QFTWD5.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in EU (London)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","EU (London)","AWS Region","EUW2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","eu-west-2","Contact Lens for Amazon Connect"
|
| 6 |
+
"3AGUJQFV67QFTWD5","JRTCKXETXF","3AGUJQFV67QFTWD5.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in EU (London)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","EU (London)","AWS Region","EUW2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","eu-west-2","Contact Lens for Amazon Connect"
|
| 7 |
+
"5HA7UJ2T3BHXQ3CD","JRTCKXETXF","5HA7UJ2T3BHXQ3CD.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Singapore)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-southeast-1","Contact Lens for Amazon Connect"
|
| 8 |
+
"5HA7UJ2T3BHXQ3CD","JRTCKXETXF","5HA7UJ2T3BHXQ3CD.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Singapore)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-southeast-1","Contact Lens for Amazon Connect"
|
| 9 |
+
"5WQAQ7E4M625EDGR","JRTCKXETXF","5WQAQ7E4M625EDGR.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute from 0 to 5,000,000 minutes for VoiceAnalytics in AWS GovCloud (US-West)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","AWS GovCloud (US-West)","AWS Region","UGW1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","us-gov-west-1","Contact Lens for Amazon Connect"
|
| 10 |
+
"5WQAQ7E4M625EDGR","JRTCKXETXF","5WQAQ7E4M625EDGR.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute from 5,000,000 minutes for VoiceAnalytics in AWS GovCloud (US-West)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","AWS GovCloud (US-West)","AWS Region","UGW1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","us-gov-west-1","Contact Lens for Amazon Connect"
|
| 11 |
+
"64RSKHZJPNGBYM25","JRTCKXETXF","64RSKHZJPNGBYM25.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in US East (N. Virginia)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","US East (N. Virginia)","AWS Region","USE1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","us-east-1","Contact Lens for Amazon Connect"
|
| 12 |
+
"6NJ94SKFTV8WGY62","JRTCKXETXF","6NJ94SKFTV8WGY62.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","ap-northeast-1","Contact Lens for Amazon Connect"
|
| 13 |
+
"773SDZNR8FSNMV8D","JRTCKXETXF","773SDZNR8FSNMV8D.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Tokyo)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-northeast-1","Contact Lens for Amazon Connect"
|
| 14 |
+
"773SDZNR8FSNMV8D","JRTCKXETXF","773SDZNR8FSNMV8D.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Tokyo)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-northeast-1","Contact Lens for Amazon Connect"
|
| 15 |
+
"7DGBUSSM5HA9A5YD","JRTCKXETXF","7DGBUSSM5HA9A5YD.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","EU (London)","AWS Region","EUW2-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","eu-west-2","Contact Lens for Amazon Connect"
|
| 16 |
+
"7MZ5KK5U4ZVG4UW3","JRTCKXETXF","7MZ5KK5U4ZVG4UW3.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","US West (Oregon)","AWS Region","USW2-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","us-west-2","Contact Lens for Amazon Connect"
|
| 17 |
+
"87FFZQJEBQFFM6DP","JRTCKXETXF","87FFZQJEBQFFM6DP.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Africa (Cape Town)","AWS Region","AFS1-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","af-south-1","Contact Lens for Amazon Connect"
|
| 18 |
+
"88TRMVC8XDD8QXQE","JRTCKXETXF","88TRMVC8XDD8QXQE.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","ap-northeast-1","Contact Lens for Amazon Connect"
|
| 19 |
+
"8UNG8CEERAQZTF99","JRTCKXETXF","8UNG8CEERAQZTF99.JRTCKXETXF.4GGFUHBAHK","OnDemand","USD0.015 per minute for VoiceAnalytics:VoiceAnalytics in Africa (Cape Town)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Africa (Cape Town)","AWS Region","AFS1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","af-south-1","Contact Lens for Amazon Connect"
|
| 20 |
+
"8UNG8CEERAQZTF99","JRTCKXETXF","8UNG8CEERAQZTF99.JRTCKXETXF.XCXBHCFFQ2","OnDemand","USD0.0125 per minute for VoiceAnalytics:VoiceAnalytics in Africa (Cape Town)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Africa (Cape Town)","AWS Region","AFS1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","af-south-1","Contact Lens for Amazon Connect"
|
| 21 |
+
"98NZF4MREG9GX62S","JRTCKXETXF","98NZF4MREG9GX62S.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in US East (N. Virginia)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","US East (N. Virginia)","AWS Region","USE1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","us-east-1","Contact Lens for Amazon Connect"
|
| 22 |
+
"98NZF4MREG9GX62S","JRTCKXETXF","98NZF4MREG9GX62S.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in US East (N. Virginia)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","US East (N. Virginia)","AWS Region","USE1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","us-east-1","Contact Lens for Amazon Connect"
|
| 23 |
+
"ARJT6GXES6YA3ZEY","JRTCKXETXF","ARJT6GXES6YA3ZEY.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in EU (London)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","EU (London)","AWS Region","EUW2-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","eu-west-2","Contact Lens for Amazon Connect"
|
| 24 |
+
"B77ZJPAE26CJHXK9","JRTCKXETXF","B77ZJPAE26CJHXK9.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","ap-south-1","Contact Lens for Amazon Connect"
|
| 25 |
+
"CD8ANTASR9C8HSPN","JRTCKXETXF","CD8ANTASR9C8HSPN.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for VoiceAnalytics in Canada (Central)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Canada (Central)","AWS Region","CAN1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ca-central-1","Contact Lens for Amazon Connect"
|
| 26 |
+
"CD8ANTASR9C8HSPN","JRTCKXETXF","CD8ANTASR9C8HSPN.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute for VoiceAnalytics in Canada (Central)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Canada (Central)","AWS Region","CAN1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ca-central-1","Contact Lens for Amazon Connect"
|
| 27 |
+
"CXHXDMC57ZKH4NKA","JRTCKXETXF","CXHXDMC57ZKH4NKA.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in EU (Frankfurt)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","EU (Frankfurt)","AWS Region","EUC1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","eu-central-1","Contact Lens for Amazon Connect"
|
| 28 |
+
"DS2CZHPBCGDQ4GKH","JRTCKXETXF","DS2CZHPBCGDQ4GKH.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Sydney)","AWS Region","APS2-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","ap-southeast-2","Contact Lens for Amazon Connect"
|
| 29 |
+
"E552M44U66FRXN4A","JRTCKXETXF","E552M44U66FRXN4A.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","EU (Frankfurt)","AWS Region","EUC1-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","eu-central-1","Contact Lens for Amazon Connect"
|
| 30 |
+
"EHSF6MVPJKCWCCFX","JRTCKXETXF","EHSF6MVPJKCWCCFX.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","ap-southeast-1","Contact Lens for Amazon Connect"
|
| 31 |
+
"F9VG22YE3DRH8XY7","JRTCKXETXF","F9VG22YE3DRH8XY7.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Africa (Cape Town)","AWS Region","AFS1-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","af-south-1","Contact Lens for Amazon Connect"
|
| 32 |
+
"GCX737FF6A7XDY8C","JRTCKXETXF","GCX737FF6A7XDY8C.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in EU (Frankfurt)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","EU (Frankfurt)","AWS Region","EUC1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","eu-central-1","Contact Lens for Amazon Connect"
|
| 33 |
+
"GCX737FF6A7XDY8C","JRTCKXETXF","GCX737FF6A7XDY8C.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in EU (Frankfurt)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","EU (Frankfurt)","AWS Region","EUC1-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","eu-central-1","Contact Lens for Amazon Connect"
|
| 34 |
+
"HCU5JBS2WXS5XR9U","JRTCKXETXF","HCU5JBS2WXS5XR9U.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in US West (Oregon)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","US West (Oregon)","AWS Region","USW2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","us-west-2","Contact Lens for Amazon Connect"
|
| 35 |
+
"HCU5JBS2WXS5XR9U","JRTCKXETXF","HCU5JBS2WXS5XR9U.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in US West (Oregon)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","US West (Oregon)","AWS Region","USW2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","us-west-2","Contact Lens for Amazon Connect"
|
| 36 |
+
"HUZ96K6ZVX7BTMSN","JRTCKXETXF","HUZ96K6ZVX7BTMSN.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Mumbai)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","ap-south-1","Contact Lens for Amazon Connect"
|
| 37 |
+
"JETBVTXW93FA9VRU","JRTCKXETXF","JETBVTXW93FA9VRU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Canada (Central)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Canada (Central)","AWS Region","CAN1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","ca-central-1","Contact Lens for Amazon Connect"
|
| 38 |
+
"K5TCHN8NF5QXGXB6","JRTCKXETXF","K5TCHN8NF5QXGXB6.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in US West (Oregon)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","US West (Oregon)","AWS Region","USW2-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","us-west-2","Contact Lens for Amazon Connect"
|
| 39 |
+
"MERVN2MA2TWR593V","JRTCKXETXF","MERVN2MA2TWR593V.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Sydney)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Sydney)","AWS Region","APS2-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","ap-southeast-2","Contact Lens for Amazon Connect"
|
| 40 |
+
"MPPBGX79SJZG8Y8Z","JRTCKXETXF","MPPBGX79SJZG8Y8Z.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","US West (Oregon)","AWS Region","USW2-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","us-west-2","Contact Lens for Amazon Connect"
|
| 41 |
+
"PVBW3D9H5WHUDGD6","JRTCKXETXF","PVBW3D9H5WHUDGD6.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Canada (Central)","AWS Region","CAN1-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","ca-central-1","Contact Lens for Amazon Connect"
|
| 42 |
+
"Q2DCCNPMFGKGD46C","JRTCKXETXF","Q2DCCNPMFGKGD46C.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","EU (London)","AWS Region","EUW2-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","eu-west-2","Contact Lens for Amazon Connect"
|
| 43 |
+
"QEDH8S56ZVVFV8YT","JRTCKXETXF","QEDH8S56ZVVFV8YT.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","ap-northeast-2","Contact Lens for Amazon Connect"
|
| 44 |
+
"QFVT4RW9C7MF573B","JRTCKXETXF","QFVT4RW9C7MF573B.JRTCKXETXF.6YS6EN2CT7","OnDemand","USD0.0015 per message for ChatAnalytics:ChatAnalytics in Africa (Cape Town)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Africa (Cape Town)","AWS Region","AFS1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","af-south-1","Contact Lens for Amazon Connect"
|
| 45 |
+
"QV6KKUJU6E6P5QXE","JRTCKXETXF","QV6KKUJU6E6P5QXE.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","US East (N. Virginia)","AWS Region","USE1-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","us-east-1","Contact Lens for Amazon Connect"
|
| 46 |
+
"TNZEJ8HZZB8NN43X","JRTCKXETXF","TNZEJ8HZZB8NN43X.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Tokyo)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Tokyo)","AWS Region","APN1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","ap-northeast-1","Contact Lens for Amazon Connect"
|
| 47 |
+
"TPQA75ZMTT8EDRT8","JRTCKXETXF","TPQA75ZMTT8EDRT8.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Canada (Central)","AWS Region","CAN1-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","ca-central-1","Contact Lens for Amazon Connect"
|
| 48 |
+
"UTET4D5YPEYBJNTF","JRTCKXETXF","UTET4D5YPEYBJNTF.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Sydney)","AWS Region","APS2-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","ap-southeast-2","Contact Lens for Amazon Connect"
|
| 49 |
+
"V8UNG7NGU69RUD9X","JRTCKXETXF","V8UNG7NGU69RUD9X.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Speech","2025-07-01","0","Inf","minute","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","US East (N. Virginia)","AWS Region","USE1-ai-VoiceAnalytics","ai-VoiceAnalytics","Batch","Voice","Max","us-east-1","Contact Lens for Amazon Connect"
|
| 50 |
+
"VBJGMVRE23MS73SU","JRTCKXETXF","VBJGMVRE23MS73SU.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Singapore)","AWS Region","APS1-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","ap-southeast-1","Contact Lens for Amazon Connect"
|
| 51 |
+
"VHNRU5MECF3B2B2H","JRTCKXETXF","VHNRU5MECF3B2B2H.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Mumbai)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-south-1","Contact Lens for Amazon Connect"
|
| 52 |
+
"VHNRU5MECF3B2B2H","JRTCKXETXF","VHNRU5MECF3B2B2H.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Mumbai)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-south-1","Contact Lens for Amazon Connect"
|
| 53 |
+
"VQFH7M9RM6R4K4EU","JRTCKXETXF","VQFH7M9RM6R4K4EU.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Mumbai)","AWS Region","APS3-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","ap-south-1","Contact Lens for Amazon Connect"
|
| 54 |
+
"W3FU5AVZQK7PJKNU","JRTCKXETXF","W3FU5AVZQK7PJKNU.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in AWS GovCloud (US-West)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","AWS GovCloud (US-West)","AWS Region","UGW1-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","us-gov-west-1","Contact Lens for Amazon Connect"
|
| 55 |
+
"W4ZCHQ795EVM32VF","JRTCKXETXF","W4ZCHQ795EVM32VF.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","EU (Frankfurt)","AWS Region","EUC1-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","eu-central-1","Contact Lens for Amazon Connect"
|
| 56 |
+
"XADB7F82QGQEM8JF","JRTCKXETXF","XADB7F82QGQEM8JF.JRTCKXETXF.6YS6EN2CT7","OnDemand","$0.0015 per message for ChatAnalytics in Asia Pacific (Seoul)","2025-07-01","0","Inf","message","0.0015000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-ChatAnalytics","ChatAnalytics","Batch","Chat","Standard","ap-northeast-2","Contact Lens for Amazon Connect"
|
| 57 |
+
"ZKKTK2MQSFYRFT3X","JRTCKXETXF","ZKKTK2MQSFYRFT3X.JRTCKXETXF.4GGFUHBAHK","OnDemand","$0.015 per minute for initial 5 million minutes for VoiceAnalytics in Asia Pacific (Sydney)","2025-07-01","0","5000000","minute","0.0150000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Sydney)","AWS Region","APS2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-southeast-2","Contact Lens for Amazon Connect"
|
| 58 |
+
"ZKKTK2MQSFYRFT3X","JRTCKXETXF","ZKKTK2MQSFYRFT3X.JRTCKXETXF.XCXBHCFFQ2","OnDemand","$0.0125 per minute after initial 5 million minutes for VoiceAnalytics in Asia Pacific (Sydney)","2025-07-01","5000000","Inf","minute","0.0125000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Sydney)","AWS Region","APS2-VoiceAnalytics","VoiceAnalytics","Batch","Voice","Standard","ap-southeast-2","Contact Lens for Amazon Connect"
|
| 59 |
+
"ZW4BDZVQHR768PVZ","JRTCKXETXF","ZW4BDZVQHR768PVZ.JRTCKXETXF.6YS6EN2CT7","OnDemand","Amazon Connect AI Contact Lens for Chat","2025-07-01","0","Inf","message","0.0000000000","USD","Business Analytics","ContactLensAmazonConnect","Asia Pacific (Seoul)","AWS Region","APN2-ai-ChatAnalytics","ai-ChatAnalytics","Batch","Chat","Max","ap-northeast-2","Contact Lens for Amazon Connect"
|
IoTDeviceDefender.csv
CHANGED
|
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|
|
|
IoTDeviceManagement.csv
CHANGED
|
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|
|
|