Ray on ROCm documentation#
2026-07-27
1 min read time
Applies to Linux
Use Ray on ROCm to orchestrate distributed GPU workloads across AMD Instinct clusters, enabling elastic hyperparameter tuning, reinforcement learning, and scalable end-to-end machine learning pipelines.
Ray is a unified framework, consisting of a core distributed runtime and a set of AI libraries for simplifying machine learning computations.
Ray is part of the AMD LLM Extension toolkit.
The Ray public repository is located at AMD-Ecosystem/ray.
Install
To contribute to the documentation, refer to Contributing to ROCm.
You can find licensing information on the Licensing page.