nccl4py

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]

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nccl4py-0.3.1.post1-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (11.1 MB view details)

Uploaded Sep 3, 2026 CPython 3.14tmanylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

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Uploaded Sep 3, 2026 CPython 3.14tmanylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

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Uploaded Sep 3, 2026 CPython 3.14manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

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Uploaded Sep 3, 2026 CPython 3.14manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

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Uploaded Sep 3, 2026 CPython 3.13manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

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Uploaded Sep 3, 2026 CPython 3.13manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

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Uploaded Sep 3, 2026 CPython 3.12manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

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0.5.0

Sep 1, 2026 12 files

0.4.1

Aug 11, 2026 12 files

This release

0.3.1.post1 This release

Sep 3, 2026 12 files

0.3.1

Jun 11, 2026 12 files

0.2.0

Apr 24, 2026 10 files

0.1.1

Jan 9, 2026 10 files

nccl4py 0.3.1.post1

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