ONNX (Open Neural Network Exchange) is an open standard designed to represent machine learning models and enable them to be transferred between different frameworks and runtime environments. It allows models built in frameworks such as PyTorch, TensorFlow, or others to be deployed efficiently across diverse hardware and software ecosystems. By leveraging ONNX, businesses can enhance model portability, improve performance, and reduce dependency on a single framework, ensuring flexible and future-ready AI deployment.