Skip to content
You must be logged in to sponsor cupy

Become a sponsor to CuPy

@cupy

CuPy

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 9,481
  2. cupy/pip.cupy.dev

    The pip index for CuPy wheels

    Python 2

Learn more about sponsoring developers and organizations.

Report abuse

Select a tier

$ a month

Choose a custom amount.

$5 a month

Select

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

$10 a month

Select

💖 Premium Backer
We appreciate your generosity! You will get a Sponsor badge 🎖 on your profile, and your icon will show up on ours.

$25 a month

Select

🤝 Supporter
Help us sustain our activities! You will get a Sponsor badge 🎖 on your profile, and your icon will show up on ours.

$100 a month

Select

✨ Sponsor
We really appreciate your help! You will get a Sponsor badge 🎖 on your profile, and your icon will show up on ours.

$250 a month

Select

⭐️ 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.