cuGraph • Zero code change GPU-acceleration for NetworkX code • Accelerates algorithms up to 600x, based on algorithm and graph size • Support for 60 popular graph algorithms and growing • Fallback to using CPU NetworkX for any unsupported algorithms NetworkX 3.2, CPU: Intel(R) Xeon(R) Platinum 8480CL 2TB, GPU: NVIDIA H100 80GB pip install nx-cugraph-cu12 --extra-index-url https://pypi.nvidia.com conda install -c rapidsai -c conda-forge -c nvidia nx-cugraph