Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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[serve] Fix start_metrics_pusher crash when deployment has record_autoscaling_stats but no autoscaling config (#62123)
445ec22View on GitHub[Release] Fail release tests on Ray worker OOM kills (#62148)
f771f77View on GitHub[Data] Deprecate Pandas: Convert Pandas UDF batches as Arrow blocks internally (#61733)
026e255View on GitHubFix crash in ReferenceCounter::CleanupBorrowersOnRefRemoved due to race between message_published_callback and publisher_failed_callback on WORKER_REF_REMOVED_CHANNEL (#60495)
0503c63View on GitHub[core](Label Locality 2/n) Autoscaler proto changes for gpu domain aware placement groups (#61614)
ccf2ed3View on GitHub[core] Improved clangd refresh commands target for better build visibility (#62143)
5de7691View on GitHub[CI] Convert _images.rayci.yml from matrix to array syntax (#62201)
aa2b42eView on GitHub[ci] Migrate hello_world test compute configs to new schema (#61846)
e622169View on GitHub[Core] (Resource Isolation 10/n) Add event based memory monitor (#62060)
8558194View on GitHub[Data] Remove failing Dask several release tests (#62319)
334555dView on GitHub[serve][llm] 4/4: Add benchmark docs and refactor into submodules (#62204)
83088bfView on GitHub[serve][llm][sglang] Fix chat tokenize to respect add_generation_prompt (#61688)
a253b47View on GitHub1.3k
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