ONNX (Open Neural Network Exchange) is an open format that defines a standard set of operators and a common file format used for machine learning and deep learning models. It allows AI developers to utilize models across various frameworks, tools, runtimes, and compilers, thereby promoting interoperability in the AI tools community. ONNX enhances accessibility to hardware optimizations and enables developers to build models using their preferred frameworks without vendor lock-in. The community-driven project encourages collaboration and contributions from developers to further enhance the ecosystem.
• community-driven project
• built-in operators standardization
• common file format for ml models
• access to hardware optimizations
• interoperability across different frameworks
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