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.

Contents:

• Release Notes
  • 12.8.0
  • 12.6.2
  • 12.6.1
  • 11.8.6
• cuda.core
• cuda.bindings
• cuda.cooperative
• cuda.parallel
• Code of Conduct
  • Overview
  • Our Pledge
  • Our Standards
  • Our Responsibilities
  • Scope
  • Enforcement
  • Attribution
• Contributing