ray-project

Helm charts for the KubeRay 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 toolkit to run Ray applications on Kubernetes

Ray educational materials

Tracking Ray Enhancement Proposals

Scalable NLP model fine-tuning and batch inference with Ray and Anyscale

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 multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.

Host images