ray-project / ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Why this job: topics: llm-inference, llm-serving
What it does
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 44,240
- +55 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- ray-2.60.0
- Released 5 days ago
- Built with
- Python
- 79% of the code
Is it looked after?
- Contributors
- 43
- Last 90 days
- Issues
- 88% closed
- 2,827 still open
- Pull requests
- 33,312 merged
- 921 waiting
- Releases
- 134
- 17 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 79%
- C++ 16%
- Java 2%
- Starlark 1%
Topics
- ray
- distributed
- parallel
- machine-learning
- reinforcement-learning
- deep-learning
- python
- rllib
- hyperparameter-search
- optimization
- data-science
- hyperparameter-optimization
Project record
- JobLocal LLMs
- StatusFeatured
- Commits32,506
- Forks8,259
- Watching481
- Stars in 28 days+260
- CreatedOct 25, 2016
- First seen by usNov 7, 2026
- CheckedNov 9, 2026