ray-project

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

A Pythonic Data Catalog powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your big data workloads.

A toolkit to run Ray applications on Kubernetes

Distributed XGBoost on Ray

Pytorch Lightning Distributed Accelerators using Ray

Tracking Ray Enhancement Proposals

A multiple parties joint, distributed execution engine on the top of Ray.

Ray educational materials