Ray version 1.9 is here!
Highlights include:
Ray Train is now in beta
Ray Datasets now supports groupby
and aggregations
Ray Docker images for multiple CUDA versions are now provided
Improving Ray stability and usability on Windows
Launching of a Ray Job Submission server + CLI & SDK clients to make it easier to submit and monitor Ray applications
And thereβs more. Head over to the release blog for the deep dive.