cuGraph Goes Big: How Multi-GPU Can Address Your Big Graph Needs
, NVIDIA
, NVIDIA
, NVIDIA
Learn how to solve graph analytics at industrial scale using cuGraph v0.16. We'll show how DASK can be combined with cuGRAPH to enable massive scalability for graph analytics from Python. No CUDA code needs to be written - the user works at the level of Jupyter notebooks and dataframes. The implementation is open-source and available for anyone to contribute to and use.