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CuPy

Developer tools and platforms · by CuPy

Open-source GPU-accelerated array library providing NumPy/SciPy-compatible interfaces for Python, supporting NVIDIA CUDA and AMD ROCm.

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What it does

Open-source GPU-accelerated array library providing NumPy/SciPy-compatible interfaces for Python, supporting NVIDIA CUDA and AMD ROCm. Installable via pip wheels, Conda-Forge, or source.

  • Running NumPy/SciPy code on NVIDIA CUDA and AMD ROCm GPUs
  • GPU-accelerated array computing with drop-in NumPy/SciPy compatibility
  • Writing and executing custom CUDA kernels from Python
Category
Developer tools and platforms
Users
Python developers needing GPU-accelerated scientific computing, Users of NumPy and SciPy seeking GPU performance
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

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Security and compliance

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