ONNX (Open Neural Network Exchange) The open standard for machine learning interoperability.

ONNX, or Open Neural Network Exchange, serves as an open format specifically designed for representing machine learning models. It achieves this by defining a common set of operators, which are the fundamental building blocks for both machine learning and deep learning models. Additionally, ONNX specifies a common file format, simplifying the process for AI developers.

This standardized approach allows developers to utilize models seamlessly across a wide variety of frameworks, tools, runtimes, and compilers. Key benefits include interoperability, freeing developers to work in their preferred framework without downstream deployment concerns, and easier access to hardware optimizations. By using ONNX-compatible runtimes and libraries, developers can maximize performance across different hardware platforms. ONNX operates as a community-driven project under an open governance structure.