NVIDIA

nccl4py bridges Python’s simplicity with the performance of NVIDIA Collective Communications Library (NCCL), and provides a Pythonic interface to NCCL library’s functionality. It enables Python applications to leverage NCCL’s GPU-accelerated multi-GPU and multi-node communication capabilities for distributed computing workloads.

nccl4py follows the NCCL SLA. The details of the NCCL SLA is available here.

nccl4py is under active development. Feedback and suggestions are welcome!

Installation

For CUDA 12.x:

pip install nccl4py[cu12]

For CUDA 13.x:

pip install nccl4py[cu13]

Project links

Key dates

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Latest release

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Credits

Author: NVIDIA Corporation

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.10

Provides Extra

cu12 cu13

Classifiers

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nccl4py-0.5.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.6 MB view details)

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nccl4py-0.5.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.5 MB view details)

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nccl4py-0.5.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.5 MB view details)

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nccl4py-0.5.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.5 MB view details)

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nccl4py-0.5.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.6 MB view details)

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nccl4py-0.5.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.6 MB view details)

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nccl4py-0.5.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (3.4 MB view details)

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nccl4py-0.5.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (3.4 MB view details)

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This release

0.5.0 This release

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0.4.1

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0.3.1.post1

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0.3.1

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0.2.0

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0.1.1

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