What is ONNX?

ONNX is an open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.

Framework Interoperability

Enabling interoperability makes it possible to get great ideas into production faster. ONNX enables models to be trained in one framework and transferred to another for inference. ONNX models are currently supported in Caffe2, Microsoft Cognitive Toolkit, MXNet, and PyTorch, and there are connectors for many other common frameworks and libraries.

Hardware Optimizations

ONNX makes it easier for optimizations to reach more developers. Any tools exporting ONNX models can benefit ONNX-compatible runtimes and libraries designed to maximize performance on some of the best hardware in the industry. ONNX support is coming soon in many of your favorite deep learning products from our hardware partners!

Get Involved


Start experimenting today.
Check out our Supported Tools and Tutorials.


ONNX is a community project. We encourage you to join the effort and contribute feedback, ideas, and code. Join us on Github.

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