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.