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Welcome to ONNX Runtime!
ONNX Runtime is a cross-platform inferencing and training accelerator compatible with popular ML/DNN frameworks, including PyTorch, TensorFlow/Keras, scikit-learn, and more.
You can benefit from ONNX Runtime if you want to:
- Improve inference performance for a wide variety of ML models
- Reduce time and cost of training large models
- Train in Python but deploy into a C#/C++/Java app
- Run on different hardware and operating systems
- Train and perform inference with models created in different frameworks
ONNX Runtime inference APIs are stable and production-ready since the 1.0 release in October 2019 and can enable faster customer experiences and lower costs.
ONNX Runtime training feature was introduced in May 2020 in preview. This feature supports acceleration of PyTorch training on multi-node NVIDIA GPUs for transformer models. Additional updates for this feature are coming soon.