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Become a sponsor to CuPy

CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. Our goal is to provide Python users with GPU acceleration capabilities without in-depth knowledge of underlying GPU technologies. Check out the Overview page for more details.

Your sponsorship helps to ensure that our work continues toward our open-source mission. The funds collected are intended to support the development team and compensate the cloud infrastructure for continuous integration and building binary packages.

CuPy is a NumFOCUS Sponsored Project. Funds are collected and disbursed via NumFOCUS, a 501(c)(3) public charity in the United States, which acts as the fiscal sponsor for the project.

5 sponsors have funded cupy’s work.

Private Sponsor
Private Sponsor
@UmedaTakefumi
@mheriyanto
Private Sponsor

Featured work

  1. cupy/cupy

    NumPy & SciPy for GPU

    Python 9,463
  2. cupy/pip.cupy.dev

    The pip index for CuPy wheels

    Python 2

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🩷 Backer
Thanks for your support! You will get a Sponsor badge 🎖 on your profile, and your icon will show up on ours.

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⭐️ Organization Sponsor
Provide us with ongoing support to help us continue maintaining CuPy! You will get a Sponsor badge 🎖 on your profile, and your icon will show up on ours.