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ONNX Runtime vs Ray Train

ONNX Runtime

7.2#4 in deep learning softwareFree plan
Free planAndroidiOSWebLinux
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Ray Train

6.0#21 in deep learning softwareFree plan
Free planLinuxmacOSSelf-hostedWindows
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What both publish

FactONNX RuntimeRay Train
PurposeONNX Runtime is a production-grade engine for accelerating machine-learning training and inference in existing technology stacks.Ray Train distributes model training compute to worker processes across a Ray cluster.
SupportDocumentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub.The Ray site offers a community Slack, forums, and documentation, and says Anyscale offers hands-on training and expert support.

ONNX Runtime plans

  • Open sourceFree

Ray Train plans

  • Ray TrainFree

Pick ONNX Runtime if…

ONNX Runtime suits developers deploying machine-learning models across varied devices and hardware accelerators. It may also suit teams seeking local training or browser and mobile inference.

Pick Ray Train if…

Ray Train suits developers running local single-node or remote multi-node clusters who need distributed model training. It is relevant to teams using supported machine-learning frameworks and CPU or GPU resources.

Charts they share