The Open Neural Network Exchange (ONNX) is an open-source ecosystem and model format that enables interoperability between different AI frameworks, tools, and hardware platforms. It supports both deep learning and traditional machine learning models by defining a flexible computation graph, standard data types, and a set of built-in operators. ONNX focuses primarily on model inferencing (scoring), allowing developers to train models in one framework (e.g., PyTorch, TensorFlow) and deploy them across diverse environments without compatibility issues. By standardizing model representation, ONNX accelerates the transition from research to production and fosters innovation by giving AI developers the freedom to choose the best tools for each stage of their project.