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ONNX Runtime vs OpenVINO

ONNX Runtime

7.2#4 in deep learning softwareFree plan
Free planAndroidiOSWebLinux
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OpenVINO

6.2#15 in deep learning softwareFree plan
Free planWebLinuxmacOSWindows
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What both publish

FactONNX RuntimeOpenVINO
DeploymentInference is described for cloud servers, edge and mobile devices, and web browsers.The maker says models can be deployed across Intel hardware on-premises, on-device, in a browser, or in the cloud.
PurposeONNX Runtime is a production-grade engine for accelerating machine-learning training and inference in existing technology stacks.OpenVINO is an open-source toolkit that accelerates AI inference while reducing model footprint and optimizing hardware use.
SupportDocumentation questions are directed to issue filing, and the project invites users to report bugs, suggest features, and submit pull requests on GitHub.The maker lists an Intel community forum, Intel Support, GitHub issues, and Stack Overflow as help channels.

ONNX Runtime plans

  • Open sourceFree

OpenVINO plans

  • OpenVINO toolkitFree

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 OpenVINO if…

OpenVINO suits developers working on computer vision, large language models, or generative AI who need inference optimization across Intel hardware. It may also suit teams looking for compression options and integrations with serving tools.

Charts they share