Library / SDK
Inference & Serving
Ray
1Distributed 2compute 3for 4Python 5AI 6workloads
the six Ws · specification
W1
Who
Maintained by Anyscale and the Ray community.
W2
What
Scales Python and AI workloads across a cluster.
W3
Where
Self-hosted clusters or managed Anyscale.
W4
When
When training, tuning, or serving must scale out.
W5
Why
A unified framework for distributed AI, including Ray Serve.
W6
With
A Ray cluster and your Python workloads.
W7
Watch
Community-maintained (Anyscale-backed); open-source (Apache-2.0), self-hostable. Runs on your own compute; nothing leaves your cluster.
alternatives