Project URL
https://pypi.org/project/onnxruntime-gpu
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New limit
100 GiB
Update issue title
Which indexes
PyPI
About the project
ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models. For more information on ONNX Runtime, please see aka.ms/onnxruntime or the Github project. This project hosts the CUDA accelerated version of the project.
The project is widely used by nVidia, AMD, Intel, Qualcomm, and Microsoft. We have been publishing for at least 8 years to PyPi. We will continue to publish going into the future. We understand our releases are quite large (~2.5G), and will work towards reducing their size in the future.
How large is each release?
~3GiB per release, with ~250MiB per wheel in a release.
6x ABIs ([3.11, 3.14], and 3.13t & 3.14t on linux)
2x Platforms (Windows, ManyLinux 2_28)
1x Variant(s) per platform (x86_64)
How frequently do you make a release?
Roughly once a month.
Code of Conduct
Project URL
https://pypi.org/project/onnxruntime-gpu
Does this project already exist?
New limit
100 GiB
Update issue title
Which indexes
PyPI
About the project
ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exchange (ONNX) models. For more information on ONNX Runtime, please see aka.ms/onnxruntime or the Github project. This project hosts the CUDA accelerated version of the project.
The project is widely used by nVidia, AMD, Intel, Qualcomm, and Microsoft. We have been publishing for at least 8 years to PyPi. We will continue to publish going into the future. We understand our releases are quite large (~2.5G), and will work towards reducing their size in the future.
How large is each release?
~3GiB per release, with ~250MiB per wheel in a release.
6x ABIs ([3.11, 3.14], and 3.13t & 3.14t on linux)
2x Platforms (Windows, ManyLinux 2_28)
1x Variant(s) per platform (x86_64)
How frequently do you make a release?
Roughly once a month.
Code of Conduct