ONNX (Open Neural Network Exchange) is an open-source framework-agnostic format designed to enable the exchange of models between different machine learning frameworks. It allows models to be trained in one framework (like PyTorch or TensorFlow) and then exported to another for inference or further optimization.
ONNX simplifies the process of moving models across various platforms and environments, which can be helpful when integrating models into production systems, or when running them on specialized hardware. It supports a wide range of operators and is compatible with many machine learning tools.
The ONNX format helps in achieving better cross-platform compatibility, allowing developers to utilize the strengths of multiple frameworks and optimize deployment.