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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.
$ git clone https://github.com/ray-project/ray.git
stars
43,318
forks
7,818
language
Python
license
Apache License 2.0
What is ray-project/ray?
Ray is a distributed computing framework that enables Python developers to build and run scalable machine learning workloads across multiple machines. It provides a core runtime for parallel execution plus specialized libraries for tasks like hyperparameter tuning, LLM inference and serving, reinforcement learning, and general ML model training. Developers use Ray to accelerate compute-intensive ML workloads and simplify the complexity of distributed programming across PyTorch, TensorFlow, and other frameworks.
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Topics
#data-science #deep-learning #deployment #distributed #hyperparameter-optimization #hyperparameter-search #large-language-models #llm #llm-inference #llm-serving #machine-learning #optimization #parallel #python #pytorch #ray #reinforcement-learning #rllib #serving #tensorflow
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3,481 open issues · last updated Jul 23, 2026