# Ray 2.37.0 — Ray-2.37.0

- Product: Ray (https://whatsnew.fyi/product/ray)
- Vendor: Anyscale
- Date: 2024-09-24
- Version: 2.37.0
- Original notes: https://github.com/ray-project/ray/releases/tag/ray-2.37.0
- Permalink: https://whatsnew.fyi/product/ray/releases/2.37.0

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **changed** — Simplify custom metadata provider API
- **changed** — Change counts of metrics to rates of metrics
- **fixed** — Throw exception for non-streaming HF datasets with override_num_blocks argument
- **changed** — Refactor custom optimizer rules
- **fixed** — Remove ineffective retry code in plan_read_op
- **fixed** — Fix incorrect pending task size if outputs are empty
- **changed** — Update run status and add stack trace to TrainRunInfo
- **added** — Allow control of some serve configuration via env vars
- **changed** — Faster detection of dead replicas
- **fixed** — Fix component id logging field
- **added** — Add restart-failed-env option to EnvRunners
- **changed** — Store episodes in state form for offline RL
- **changed** — Replace GAE in MARWILOfflinePreLearner with GeneralAdvantageEstimation connector in learner pipeline
- **added** — Add episode sampling to EpisodeReplayBuffer
- **added** — Add SelfSupervisedLossAPI for RLModules that bring their own loss
- **added** — Add InferenceOnlyAPI
- **added** — Allow custom NCCL group for aDAG
- **added** — Support buffered input for aDAG
- **added** — Support multi node multi reader for aDAG
- **changed** — Make is_gpu, is_actor, root_detached_id fields late bind to workers
- **changed** — Reconstruct actor to run lineage reconstruction triggered actor task

#### Ray Libraries<a id="ray-libraries"></a>

##### Ray Data<a id="ray-data"></a>
💫 Enhancements:
- Simplify custom metadata provider API (#47575)
- Change counts of metrics to rates of metrics (#47236)
- Throw exception for non-streaming HF datasets with "override_num_blocks" argument (#47559)
- Refactor custom optimizer rules (#47605)

🔨 Fixes:
- Remove ineffective retry code in `plan_read_op` (#47456)
- Fix incorrect pending task size if outputs are empty (#47604)

##### Ray Train<a id="ray-train"></a>
💫 Enhancements:
- Update run status and add stack trace to `TrainRunInfo` (#46875)

##### Ray Serve<a id="ray-serve"></a>
💫 Enhancements:
- Allow control of some serve configuration via env vars ([#47533](https://github.com/ray-project/ray/pull/47533))
- [serve] Faster detection of dead replicas ([#47237](https://github.com/ray-project/ray/pull/47237))

🔨 Fixes:
- [Serve] fix component id logging field ([#47609](https://github.com/ray-project/ray/pull/47609))

##### RLlib<a id="rllib"></a>
💫 Enhancements:
- New API stack:
  - Add restart-failed-env option to EnvRunners. ([#47608](https://github.com/ray-project/ray/pull/47608)[)](https://github.com/ray-project/ray/commit/e75f5e7aa950e30097a0323f4baf14d90b1b6b9b)
  - Offline RL: Store episodes in state form. ([#47294](https://github.com/ray-project/ray/pull/47294)[)](https://github.com/ray-project/ray/commit/aa7179a6fa24a0d95a1c9b85014bfb322d3447e6)
  - Offline RL: Replace GAE in MARWILOfflinePreLearner with `GeneralAdvantageEstimation` connector in learner pipeline. ([#47532](https://github.com/ray-project/ray/pull/47532))
  - Off-policy algos: Add episode sampling to EpisodeReplayBuffer. ([#47500](https://github.com/ray-project/ray/pull/47500))
  - RLModule APIs: Add `SelfSupervisedLossAPI` for RLModules[ that bri](https://github.com/ray-project/ray/commit/f422376cda3ae0dc52fc7686df3b1cb03342be7f)ng their own loss and `InferenceOnlyAPI`. ([#47581](https://github.com/ray-project/ray/pull/47581), [#47572](https://github.com/ray-project/ray/pull/47572))

##### Ray Core<a id="ray-core"></a>
💫 Enhancements:
- [aDAG] Allow custom NCCL group for aDAG (#47141)
- [aDAG] support buffered input (#47272)
- [aDAG] Support multi node multi reader (#47480)
- [Core] Make is_gpu, is_actor, root_detached_id fields late bind to workers. (#47212)
- [Core] Reconstruct actor to run lineage reconstruction triggered actor task (#47396)
- [Core] Optimize GetAllJobInfo API for performance (#47530)

🔨 Fixes:
- [aDAG] Fix ranks ordering for custom NCCL group (#47594)

##### Ray Clusters<a id="ray-clusters"></a>
📖 Documentation:
- [KubeRay] add a guide for deploying vLLM with RayService (#47038) 

#### Thanks

Many thanks to all those who contributed to this release!
@ruisearch42, @andrewsykim, @timkpaine, @rkooo567, @WeichenXu123, @GeneDer, @sword865, @simonsays1980, @angelinalg, @sven1977, @jjyao, @woshiyyya, @aslonnie, @zcin, @omatthew98, @rueian, @khluu, @justinvyu, @bveeramani, @nikitavemuri, @chris-ray-zhang, @liuxsh9, @xingyu-long, @peytondmurray, @rynewang