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15 lines
736 B
Plaintext
15 lines
736 B
Plaintext
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ONNX Runtime is a cross-platform inference and training machine-learning
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accelerator.
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ONNX Runtime inference can enable faster customer experiences and lower costs,
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supporting models from deep learning frameworks such as PyTorch and
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TensorFlow/Keras as well as classical machine learning libraries such as
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scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different
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hardware, drivers, and operating systems, and provides optimal performance by
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leveraging hardware accelerators where applicable alongside graph optimizations
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and transforms.
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ONNX Runtime training can accelerate the model training time on multi-node
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NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch
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training scripts.
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