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CUDA Python

CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It consists of multiple components:

  • `cuda.core`_: Pythonic access to CUDA runtime and other core functionalities
  • `cuda.bindings`_: Low-level Python bindings to CUDA C APIs
  • `cuda.cooperative`_: A Python package for easy access to highly efficient and customizable parallel algorithms, like sort, scan, reduce, transform, etc.
  • `cuda.parallel`_: A Python package providing CUB's reusable block-wide and warp-wide primitives for use within Numba CUDA kernels

For access to NVIDIA CPU & GPU Math Libraries, please refer to nvmath-python.

CUDA Python is currently undergoing an overhaul to improve existing and bring up new components. All of the previously available functionalities from the cuda-python package will continue to be available, please refer to the `cuda.bindings`_ documentation for installation guide and further detail.

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   release.md
   cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>
   cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>
   cuda.cooperative <https://nvidia.github.io/cccl/cuda_cooperative>
   cuda.parallel <https://nvidia.github.io/cccl/cuda_parallel>
   conduct.md
   contribute.md