Releasesby GlyphRay-2.59.1
Ray 2.59.1 released security fixes updating bundled certifi, pip, and virtualenv dependencies following the eMudhra intermediate CA compromise, along with updating aiohttp to 3.14.4.
Also shipped Nov 4, 2026Anyscale in November 2026 →
[Launched] Generally Available: Azure Database for PostgreSQL stable REST API version 2026-10-01
The Azure Database for PostgreSQL Flexible Server REST API version 2026-10-01 is now generally available, introducing new capabilities for maintenance, immutable backups, and encryption.
Analytics API (Public preview): report on the health of the data behind your agents, from your AI tool
The Monte Carlo Analytics API is now in public preview, allowing users to query data health, alert status, and cost metrics directly from AI tools via the Monte Carlo MCP server.
Twice the included embedding tokens through December 31
Pinecone is doubling the included monthly embedding tokens for Starter and Builder organizations through December 31, 2026.
Gemini Enterprise: Switch between teams in the mobile app
The Gemini Enterprise mobile app now supports switching between multiple teams without re-authentication, and allows renaming or removing teams from the list.
Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Postmortems End of Life Completed
The Postmortems feature has been retired in favor of the upgraded Post-Incident Reviews in the PagerDuty web UI.
More from RayEvery Ray release →
Ray-2.60.0
Ray 2.60.0 released shuffle v2 as default for joins and aggregations, updated Parquet task sizing from row-group metadata, added rolling update surge controls in Ray Serve, and patched security vulnerabilities.
Ray-2.58.1
Fixes Ray Data - Fix out-of-scope block callbacks being registered on blocks passed through from input to output (\#66369, cherry-pick \#66404). Fixes spurious callback errors on passthrough datasets. Images - google-cloud-cli is now installed in the base-extra images (\#65757, pick \#66611). Contributors Thanks to everyone who contributed to this release!
Ray-2.57.1
Fixes Ray Data - Fix out-of-scope block callbacks being registered on blocks passed through from input to output (\#66369, cherry-pick \#66403). Fixes spurious callback errors on passthrough datasets. Images - google-cloud-cli is now installed in the base-extra images (\#65757, pick \#66610). Contributors Thanks to everyone who contributed to this release!
Ray-2.59.0
Highlights > * Ray Data LLM & Ray Serve LLM are GA/Stable: the LLM APIs graduate to general availability this release (\#65194), alongside an upgrade to vLLM 0.27.0 (\#65351).
Ray-2.58.0
Highlights Ray Serve LLM: In this release we've completed KV cache and token aware request routing, which was previewed in 2.57. Tokenization now happens in-process on the LLMRouter ingress replica, the routing decision is made there, tokens are transmitted out-of-band so the engine does not re-tokenize, KV lifecycle events are broadcast to every ingress...
Ray-2.57.0
Highlights Ray Data: In this Ray release, we've enabled DataSourceV2 by default ( #64821 ), so read_parquet and friends use the new scan/listing infrastructure with row-group-aware chunking and predicate splitting. Hash Shuffle V2 eliminates the aggregator actor pool.
Ray-2.56.1
Highlights Ray Data : We added fixes for several to_pandas regressions introduced in 2.56: an opt-out flag ( RAY_DATA_ENABLE_ARROW_BACKED_PANDAS_CONVERSION ) for Arrow-backed conversion, an int64/ double[pyarrow] overflow crash on concatenation, and a TensorDtype.__from_arrow__ crash on empty tensor columns ( #64793 , #64794 ).
Ray-2.56.0
Highlights Ray Data Stability: In this Ray release, we've added a variety of stability improvements, including running multiple datasets in a cluster, adding automatic batch size selection to CPU-based map-batches, and default logical memory configuration to prevent OOMs.