Installing nx-cugraph

This guide describes how to install nx-cugraph and use it in your workflows.

System Requirements

nx-cugraph requires the following:

• Volta architecture or later NVIDIA GPU, with compute capability 7.0+

• CUDA 12.0+

• Python >= 3.10

• NetworkX >= 3.2 (version 3.4 or higher recommended)

More details about system requirements can be found in the RAPIDS System Requirements Documentation.

Installing Packages

Read the RAPIDS Quick Start Guide to learn more about installing all RAPIDS libraries.

nx-cugraph can be installed using conda or pip. It is included in the RAPIDS metapackage, or can be installed separately.

Conda

Nightly version

conda install -c rapidsai-nightly -c conda-forge -c nvidia nx-cugraph

Stable version

conda install -c rapidsai -c conda-forge -c nvidia nx-cugraph

pip

Nightly version

pip install nx-cugraph-cu12 --extra-index-url https://pypi.anaconda.org/rapidsai-wheels-nightly/simple

Stable version

pip install nx-cugraph-cu12 --extra-index-url https://pypi.nvidia.com