---
id: oneccl-devel
version: "2022.1.1"
license: Intel Simplified Software License
license_treatment: unclear
maintenance: active
---

# oneccl-devel — Intel® oneAPI Collective Communications Library

License: unclear · Maintenance: active · Downloads: 144.1K/mo

## What it is and what it does

oneccl-devel is Intel's oneAPI Collective Communications Library packaged for Python, designed to accelerate distributed training across multiple nodes in machine learning and high-performance computing environments. It provides optimized communication primitives for data-parallel training scenarios where gradients and model state must be synchronized across GPUs or CPUs.

The package is platform-specific, distributed as a compiled wheel for Linux x86_64 systems. It depends on the oneccl runtime library and is classified as production-stable. The library is intended for developers, researchers, and system administrators building scalable training pipelines, though the exact integration points and API surface are not detailed in the available metadata.

Use it for:

- Accelerating distributed training of large neural networks across multiple GPU or CPU nodes.
- Optimizing collective operations (allreduce, broadcast, gather) in data-parallel training frameworks.
- Building HPC applications requiring efficient inter-node communication on Intel architectures.
- Integrating with Intel oneAPI ecosystem for unified compute and communication stack.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides Intel's oneAPI Collective Communications Library for distributed training, enabling scalable communication across multiple compute nodes in machine learning and HPC workloads.

Yes, if you are building distributed training on Linux x86_64 and need Intel's optimized collective communication library. Medium friction due to platform specificity and unclear Python version support—verify compatibility before committing. License is proprietary; confirm terms for your use case. No known vulnerabilities. Active maintenance is a positive signal.

## Install

pip install oneccl-devel
uv add oneccl-devel
poetry add oneccl-devel

## Installing oneccl-devel

Before you install: Medium install friction due to platform-specific wheel (manylinux_2_28_x86_64 only). Package is actively maintained with recent releases, though repository details are not publicly available.

License in practice: Licensed under Intel Simplified Software License (proprietary, not SPDX-identified). License treatment is unclear—review Intel's terms before use in commercial or redistributed contexts.

Quickstart:

pip install oneccl-devel
import oneccl

Requires Linux x86_64 architecture (manylinux_2_28 glibc minimum). Python version support is unspecified; verify compatibility with your environment.

Verify before relying:

- Exact Python version requirements and compatibility range not specified in metadata.
- Whether oneccl-devel is intended as a standalone package or primarily as a build/development dependency.
- Specific use cases and integration patterns with popular distributed training frameworks.

## Package facts

- License: Intel Simplified Software License (unclear)
- Python support: unspecified
- Install friction: medium
- Maintenance: active
- Downloads: 144.1K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

distributed training communication, collective communications library, multi-node training, Intel oneAPI collective, scalable distributed computing, HPC communication layer, data parallel training, distributed-training, hpc, intel-oneapi

[View on SkillFed](https://skillfed.io/packages/oneccl-devel) · [View on PyPI](https://pypi.org/project/oneccl-devel/)