Releasesby GlyphRay-2.54.0
Ray Data 🎉 New Features Add checkpointing support to Ray Data ( #59409 ) Compute Expressions: list operations ( #59346 ), fixed-size arrays ( #58741 ), string padding ( #59552 ), logarithmic ( #59549 ), trigonometric ( #59712 ), arithmetic ( #59678 ), and rounding ( #59295 ) Add sql_params support to read_sql ( #60030 ) Add AsList aggregation ( #59920 )...
Also shipped Feb 19, 2026Anyscale in February 2026 →
Prisma ORM v7.4: Query Caching & Performance Boost
Prisma ORM v7.4 introduces query caching, partial indexes, and BigInt precision fixes to improve performance under load.
Gemini 3.1 Pro Preview now available in AI Gateway
Google's Gemini 3.1 Pro Preview model is now available through Netlify's AI Gateway with zero configuration required. Use the Google GenAI SDK directly in your Netlify Functions without managing API keys or authentication. The AI Gateway handles everything automatically.
Workload identity federation GA
- Changed: Use workload identity federation ( generally available ) to authenticate Tailscale API requests with federated OIDC workload identities from third-party providers.
Segmentation for Adaptive Logs
Easily manage Adaptive Logs on a per-team basis. Seegmentation to granularly manage Adaptive Logs is now Generally Available. Viewing recommendations, bulk editing, and understand savings impact are now all streamlined into a single-segment specific view.
- Visualizations with Dives: Create interactive visualizations directly in your MotherDuck UI using natural...
- Visualizations with Dives: Create interactive visualizations directly in your MotherDuck UI using natural language. To get started, connect your AI agent (Claude, ChatGPT, Cursor, or any MCP-compatible client) to the MotherDuck MCP Server and ask it to build a Dive.
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Ray-2.54.1
Ray Data 🔨 Fixes Disable hanging issue detection ( #61895 ) , The hanging issue detector was making blocking calls to the Ray State API, which could cause the scheduling loop to block and severely degrade pipeline performance. The detector is disabled in this patch release until the blocking calls are fixed.
Ray-2.55.0
Ray Data 🎉 New Features Add DataSourceV2 API with scanner/reader framework, file listing, and file partitioning ( #61220 , #61615 , #61997 ) Support GPU shuffle with rapidsmpf 26.2 ( #61371 , #62062 ) Add Kafka datasink, migrate to confluent-kafka , support datetime offsets ( #60307 , #61284 , #60909 ) Add Turbopuffer datasink ( #58910 ) Add 2-phase commit...
Ray-2.53.0
Highlights Ray plans to drop support for Pydantic V1 starting version 2.56.0. Please see this RFC for details. Ray Data now has support for bounded reading from Kafka and improved Iceberg support. Ray Data 🎉 New Features Autoscaling : New utilization-based cluster autoscaler for Ray Data workloads ( #59353 , #59362 , #59366 ).
Ray-2.55.1
- Fixes SSH connectivity issue in the ray-llm image ( #62625 / #62718 ). Upgrade apt packages in slim base ( #62666 / #62717 ).
Ray-2.51.2
- Fix for CVE-2025-62593 : reject Sec-Fetch-* other browser-specific headers in dashboard browser rejection logic
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.
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 ).