ONNX
Open Neural Network Exchange is an open standard format designed to represent machine learning models, enabling interoperability across different frameworks.
Think of It Like This
Like a universal translator that lets a book written in PyTorch be seamlessly read and executed by a TensorFlow or C++ engine.
By converting a model to ONNX, developers can train their architecture in one ecosystem and deploy it in another highly optimized runtime environment (like ONNX Runtime or TensorRT). It defines a common set of operators and a standard graph format. This decoupling is essential for deploying AI to edge devices, mobile phones, and web browsers.