Description
Machine-learning models can run inference and training workloads through a cross-platform runtime. This helps developers deploy ONNX models across CPUs, GPUs, and different operating systems.
It is runtime infrastructure for applications. Performance, hardware support, and model safety depend on the model, execution provider, and consuming software.