ONNX is an open standard designed for machine learning interoperability. It defines a common set of operators and a file format, enabling AI developers to utilize models across different frameworks and platforms. By standardizing model representation, ONNX facilitates seamless integration of diverse tools, runtimes, and compilers, ensuring adaptability and performance optimization across various hardware. The initiative is community-driven, encouraging active participation and contributions under an open governance model.
