Releasesby GlyphRay-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...
Also shipped Apr 15, 2026Anyscale in April 2026 →
Announcing Video Generation
OpenRouter launched a video generation API that provides access to top video models through a single interface.
Flux Multilingual: Conversational STT, Now in 10 Languages
The same model that solved turn detection for English voice agents now works everywhere your customers speak , no language routing, no model-per-language infrastructure, no accuracy tradeoff.
Browser Run adds WebMCP support
Browser Run (formerly Browser Rendering) now supports WebMCP ↗ (Web Model Context Protocol), a new browser API from the Google Chrome team. The Internet was built for humans, so navigating as an AI agent today is unreliable. WebMCP lets websites expose structured tools for AI agents to discover and call directly.
Cloudflare One - New, streamlined creation experience for Access Applications and Gateway Policies
The Cloudflare One dashboard now features redesigned builders for two core workflows: creating Gateway policies and configuring self-hosted Access applications. Gateway rule builder The Gateway rule builder now features a redesigned user experience, bringing it in line with the Access policy builder experience.
Workflows, Workers - Increased concurrency, creation rate, and queued instance limits for Workflows instances
Workflows limits have been raised to the following: Limit Previous New Concurrent instances (running in parallel) 10,000 50,000 Instance creation rate (per account) 100/second per account 300/second per account, 100/second per workflow Queued instances per Workflow 1 1 million 2 million These increases apply to all users on the Workers Paid plan .
More from RayEvery Ray release →
Ray-2.55.1
- Fixes SSH connectivity issue in the ray-llm image ( #62625 / #62718 ). Upgrade apt packages in slim base ( #62666 / #62717 ).
Ray-2.54.1
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-2.54.0
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 )...
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-2.53.0
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-2.57.0
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-2.58.0
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...