Skip to content

Release history

ray releases

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Back to tool Latest release

All releases

4 shown

ray-2.55.1 Bug fix

Minor fixes and improvements.

Full changelog
  • Fixes SSH connectivity issue in the ray-llm image (#62625 / #62718).
  • Upgrade apt packages in slim base (#62666 / #62717).
View release on GitHub
ray-2.55.0 Breaking risk
Breaking changes
  • local_mode support removed
  • Legacy BlockList, locality_with_output, and callback API removed
  • PyArrow 9.0 compatibility checks removed
Security fixes
  • jackson-databind upgraded from 2.16.1 to 2.18.6 (GHSA-72hv-8253-57qq)
Notable features
  • DataSourceV2 API with scanner/reader framework and file partitioning
  • Kafka datasink with confluent-kafka migration and datetime offset support
  • 2-phase commit checkpointing with trie recovery
View release on GitHub
ray-2.54.1 Bug fix

Hanging issue detector disabled to resolve pipeline performance degradation from blocking API calls.

View release on GitHub
ray-2.54.0 New feature
Notable features
  • New cluster autoscaler enabled by default
  • Ray Data checkpointing support
  • Queue-based autoscaling for Ray Serve TaskConsumer
View release on GitHub

Beta — feedback welcome: [email protected]