Scalable machine learning,
Scalable Python, for everyone
Having a trained model that can classify is great, but turning that model into a scalable server presents some unique challenges. Ray Serve on Anyscale knocks out each of these challenges for a simple end-to-end experience. In this talk, which is for people new to Ray, we present how quickly you can put a model serving application into production, integrate with other backend services, and scale it up to respond to demand.