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.
Metadata
Release files for cupy-cuda13x 14.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 1.2 GB
Release files / cupy_cuda13x-14.2.0-cp314-cp314t-win_arm64.whl
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Release files / cupy_cuda13x-14.2.0-cp314-cp314t-win_amd64.whl
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2f006963535bb6ba0a74b38df2ce40834207848b71663edfc20649f94eb03896
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / cupy_cuda13x-14.2.0-cp310-cp310-manylinux2014_aarch64.whl
| Download URL | cupy_cuda13x-14.2.0-cp310-cp310-manylinux2014_aarch64.whl |
|---|---|
| Size | 72.8 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
006987701f5b9e248c357358159c9e38252b38dbb65fbc7ec15dc38d04fca462
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8fcdb1985efc73fa8c191788813a34e25403fa99606db485113fb6630c798bca
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twine/7.0.0 CPython/3.13.14
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