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cupy-cuda11x (13.4.1)

Published 2026-02-24 14:09:58 +00:00 by atheaadmin

Installation

To install the package using pip, run the following command:

pip install --index-url  cupy-cuda11x

For more information on the PyPI registry, see the documentation.

About this package

CuPy: NumPy & SciPy for GPU

.. image:: https://raw.githubusercontent.com/cupy/cupy/main/docs/image/cupy_logo_1000px.png :width: 400

CuPy : NumPy & SciPy for GPU

CuPy <https://cupy.dev/>_ is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.

This is a CuPy wheel (precompiled binary) package for CUDA 11.2 - 11.8. You need to install CUDA Toolkit 11.2 - 11.8 <https://developer.nvidia.com/cuda-toolkit-archive>_ to use these packages.

If you have another version of CUDA, or want to build from source, refer to the Installation Guide <https://docs.cupy.dev/en/latest/install.html>_ for instructions.

Requirements

Requires Python: >=3.9

Details

PyPI

2026-02-24 14:09:58 +00:00

0

Seiya Tokui

Project Site

MIT License

95 MiB

Assets (1)

cupy_cuda11x-13.4.1-cp312-cp312-manylinux2014_x86_64.whl 95 MiB

Versions (2) View all

13.4.1 2026-02-24

12.2.0 2026-02-24