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CuPy : NumPy & SciPy for GPU

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for CUDA 13.x. You need to install CUDA Toolkit 13.x locally to use these packages. Alternatively, you can install this package together with all needed CUDA components from PyPI by passing the [ctk] tag:

$ pip install cupy-cuda13x[ctk]

If you have another version of CUDA, or want to build from source, refer to the Installation Guide for instructions.

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Data verified by PyPI on Aug 20, 2026
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Credits

Author: Seiya Tokui

Maintainer: CuPy Developers

GitHub Statistics

Data verified by PyPI on Aug 20, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python >=3.10

Provides Extra

all test ctk

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cupy_cuda13x-14.2.0-cp314-cp314t-win_amd64.whl (37.0 MB view details)

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cupy_cuda13x-14.2.0-cp314-cp314-win_amd64.whl (36.1 MB view details)

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cupy_cuda13x-14.2.0-cp314-cp314-manylinux2014_x86_64.whl (68.4 MB view details)

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cupy_cuda13x-14.2.0-cp314-cp314-manylinux2014_aarch64.whl (72.8 MB view details)

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cupy_cuda13x-14.2.0-cp313-cp313-win_amd64.whl (36.0 MB view details)

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cupy_cuda13x-14.2.0-cp312-cp312-manylinux2014_x86_64.whl (69.4 MB view details)

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cupy_cuda13x-14.2.0-cp311-cp311-win_amd64.whl (36.1 MB view details)

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cupy_cuda13x-14.2.0-cp311-cp311-manylinux2014_aarch64.whl (74.1 MB view details)

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cupy_cuda13x-14.2.0-cp310-cp310-manylinux2014_aarch64.whl (72.8 MB view details)

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14.2.0 This release

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