ONNX Runtime
7.2#4 in deep learning softwareFree planFree planAndroidiOSWebLinux
Visit| Fact | ONNX Runtime | Ray Train |
|---|---|---|
| Purpose | ONNX 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. |
| Support | Documentation 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 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.
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.