Hugging Face
Inference Endpoints Inference Endpoints

“The coolest thing was how easy it was to define a complete custom interface from the model to the inference process. It just took us a couple of hours to adapt our code, and have a functioning and totally custom endpoint.”

Andrea Boscarino, Data Scientist at Musixmatch

“It took off a week's worth of developer time. Thanks to Inference Endpoints, we now basically spend all of our time on R&D, not fiddling with AWS. If you haven't already built a robust, performant, fault tolerant system for inference, then it's pretty much a no brainer.”

Bryce Harlan, Senior Software Engineer at Phamily

“We were able to choose an off the shelf model that's very common for our customers and set it to to handle over 100 requests per second just with a few button clicks. A new standard for easily building your first vector embedding based solution, whether it be semantic search or question answering system.”

Gareth Jones, Senior Product Manager at Pinecone

“You're bringing the potential time delta between testing and production down to potentially less than a day. I've never seen anything that could do this before. I could have it on infrastructure ready to support an existing product”

Nathan Labenz, Founder at Waymark