CUDA CCCL Python Package

cuda.cccl provides a Pythonic interface to the CUDA Core Compute Libraries. It provides the following modules:

cuda.compute - Device-level parallel algorithms (reduce, scan, sort, etc.) and iterators
cuda.coop._experimental - Block and warp-level cooperative primitives for custom CUDA kernels

Installation

Install from PyPI:

pip install cuda-cccl[cu13]  # For CUDA 13.x (pip-installed cuda-toolkit)
pip install cuda-cccl[cu12]  # For CUDA 12.x (pip-installed cuda-toolkit)

If you already have a CUDA toolkit on your system and do not want pip to install it, use the sysctk variants:

pip install cuda-cccl[sysctk13]  # For CUDA 13.x (system CUDA toolkit)
pip install cuda-cccl[sysctk12]  # For CUDA 12.x (system CUDA toolkit)

For a minimal install without Numba (useful when supplying pre-compiled operators):

pip install cuda-cccl[minimal-cu13]      # pip-installed cuda-toolkit
pip install cuda-cccl[minimal-sysctk13]  # system CUDA toolkit

Install from conda-forge:

conda install -c conda-forge cccl-python

Requirements: Python 3.10+, CUDA Toolkit 12.x or 13.x, NVIDIA GPU with Compute Capability 7.5+

Documentation

For complete documentation, examples, and API reference, visit:

Full Documentation: nvidia.github.io/cccl/python
Repository: github.com/NVIDIA/cccl
Examples: github.com/NVIDIA/cccl/tree/main/python/cuda_cccl/tests/compute/examples and github.com/NVIDIA/cccl/tree/main/python/cuda_cccl/tests/coop/_experimental/examples

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This release

1.1.1

Jul 15, 2026

1.1.0

Jul 9, 2026

1.0.2

Jun 16, 2026

1.0.1

Jun 8, 2026

1.0.0

May 12, 2026

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May 5, 2026

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Apr 9, 2026

0.5.1

Feb 6, 2026

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Feb 5, 2026

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Jan 23, 2026

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Dec 19, 2025

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Dec 17, 2025

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Dec 8, 2025

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Dec 3, 2025

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Nov 5, 2025

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Oct 21, 2025

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Oct 17, 2025

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Oct 8, 2025

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Oct 2, 2025

0.2.1

Sep 19, 2025

0.1.3.2.0.dev438 pre-release

Oct 2, 2025

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Jul 15, 2025

0.1.3.1.0.dev1486 pre-release

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0.0.1.dev0 pre-release

Feb 27, 2025

cuda-cccl 1.1.1

CUDA CCCL Python Package

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