CuPy is a GPU-accelerated array library compatible with NumPy and SciPy, allowing existing Python code to run on NVIDIA CUDA or AMD ROCm platforms seamlessly. This tool offers low-level CUDA features like RawKernels and Streams for performance optimization, pushing the boundaries of what can be achieved with GPU computing. Installation is made easy with binary packages for Linux and Windows, available on PyPI and Conda-Forge. CuPy is backed by a MIT License, developed by Preferred Networks and community contributors. The library, referenced in notable publications, is constantly evolving, with new features like cuSignal integration.
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https://github.com/cupy/cupy