ONNX-Runtime¶
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 compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.
homepage: https://onnxruntime.ai/
| version | versionsuffix | toolchain |
|---|---|---|
1.10.0 |
-CUDA-11.3.1 |
foss/2021a |
1.10.0 |
foss/2021a |
|
1.16.3 |
foss/2022b |
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