Easy and quick Distributed Computing
Develop any application at any scale.
Open Source
Scale Anywhere
Run the same code on your laptop, on a powerful multi-core machine, on any cloud provider, or on a Kubernetes cluster.
Machine Learning
Utilize machine that is scalable libraries from the box for hyperparameter search, reinforcement learning, training, serving, and much more.
Ray is just a distributed execution framework that allows you to scale your applications and to leverage state of the art machine learning libraries.
Powered by Ray
“Ant Financial has generated a multi-paradigm fusion motor along with Ray that combines streaming, graph processing, and machine learning in a single system to do real-time fraud detection and promotion that is online. Ray’s freedom, scalability and efficiency allowed us to process huge amounts of dollars well worth of transactions during Double 11, the largest shopping time in the world.”
“At ASAPP, we try out machine learning models each day through our open source framework Flambé, and now we ultimately deploy a lot of those models to manufacturing where they provide an incredible number of real time customer interactions. We tried using more generic task distribution frameworks but they didn’t fit our needs until we found Ray. Using Ray has allowed us to quickly and reliably implement ML that is new t ling scale, and stepped on big groups of devices efficiently, enabling Flambé to develop and help our model training for both research and production.”