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ONNX Runtime Training: microsoft/onnxruntime-training-examples.ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples.Usage documention and tutorials: onnxruntime.ai/docs ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts.

ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is a cross-platform inference and training machine-learning accelerator.

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