# Ray 0.8.0 — Ray 0.8.0 Release Notes

- Product: Ray (https://whatsnew.fyi/product/ray)
- Vendor: Anyscale
- Date: 2019-12-18
- Version: 0.8.0
- Original notes: https://github.com/ray-project/ray/releases/tag/ray-0.8.0
- Permalink: https://whatsnew.fyi/product/ray/releases/0.8.0

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** — Enable gRPC direct calls by default for tasks and actors, allowing direct task submission between workers and between actors over gRPC while the Raylet only coordinates scheduling and creation decisions
- **changed** — Inline small objects (less than 100KB in size) into task submissions and returns instead of placing them in the object store
- **added** — Add remaining features from old dashboard
- **added** — Add Ray Kubernetes Operator with readme, structure, config and CRD related files
- **added** — Add example and tutorial for DCGAN
- **added** — Add support for multi-model multi-optimizer training in sgd
- **added** — Add deadline awareness to serve
- **added** — Add streaming data transfer and python integration
- **fixed** — Ensure numpy >= 1.16.0 is installed for fast pickling support
- **fixed** — Avoid workers starting with the same random seed
- **fixed** — Properly handle a forwarded task that gets forwarded back
- **fixed** — Remove the extra 0.5 in the Diagonal Gaussian entropy in RLlib
- **fixed** — Fix bug in PBT where initial trial result is empty
- **changed** — Report trials by state fairly in Tune
- **added** — Return parameters for a command in projects

Ray 0.8.0 Release Notes
=======================

This is the first release with gRPC direct calls enabled by default for both tasks and actors, which substantially improves task submission performance.

Highlights
----------
- Enable gRPC direct calls by default (#6367). In this mode, actor tasks are sent directly from actor to actor over gRPC; the Raylet only coordinates actor creation. Similarly, with tasks, tasks are submitted directly from worker to worker over gRPC; the Raylet only coordinates the scheduling decisions. In addition, small objects (<100KB in size) are no longer placed in the object store. They are inlined into task submissions and returns when possible.

Note: in some cases, reconstruction of large evicted objects is not possible with direct calls. To revert to the 0.7.7 behaviour, you can set the environment variable `RAY_FORCE_DIRECT=0`.

Core
----
- [Dashboard] Add remaining features from old dashboard (#6489)
- Ray Kubernetes Operator Part 1: readme, structure, config and CRD realted file (#6332)
- Make sure numpy >= 1.16.0 is installed for fast pickling support (#6486)
- Avoid workers starting with the same random seed (#6471)
- Properly handle a forwarded task that gets forwarded back (#6271)

RLlib
-----
- (Bug Fix): Remove the extra 0.5 in the Diagonal Gaussian entropy (#6475)
- AlphaZero and Ranked reward implementation (#6385)

Tune
-----
- Add example and tutorial for DCGAN (#6400)
- Report trials by state fairly (#6395)
- Fixed bug in PBT where initial trial result is empty. (#6351)

Other Libraries
---------------
- [sgd] Add support for multi-model multi-optimizer training (#6317)
- [serve] Added deadline awareness (#6442)
- [projects] Return parameters for a command (#6409)
- [streaming] Streaming data transfer and python integration (#6185)


Thanks
-------

We thank the following contributors for their work on this release:

@zplizzi, @istoica, @ericl, @mehrdadn, @walterddr, @ujvl, @alindkhare, @timgates42, @chaokunyang, @eugenevinitsky, @kfstorm, @Maltimore, @visatish, @simon-mo, @AmeerHajAli, @wumuzi520, @robertnishihara, @micafan, @pcmoritz, @zhijunfu, @edoakes, @sytelus, @ffbin, @richardliaw, @Qstar, @stephanie-wang, @Coac, @mitchellstern, @MissiontoMars, @deanwampler, @hhbyyh, @raulchen