CUDA-X Accelerated DGL Containers for Large Graph Neural Networks – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-04-03T18:49:37Z http://www.open-lab.net/blog/feed/ Gordana Neskovic <![CDATA[CUDA-X Accelerated DGL Containers for Large Graph Neural Networks]]> http://www.open-lab.net/blog/?p=39438 2023-03-22T01:16:58Z 2021-11-09T09:30:00Z Today, NVIDIA announced that it will help developers, researchers, and data scientists working with Graph Neural Networks (GNN) on large heterogeneous graphs...]]> Today, NVIDIA announced that it will help developers, researchers, and data scientists working with Graph Neural Networks (GNN) on large heterogeneous graphs...NVIDIA and DGL logos

Today, NVIDIA announced that it will help developers, researchers, and data scientists working with Graph Neural Networks (GNN) on large heterogeneous graphs with billions of edges by providing GPU-accelerated Deep Graph Library (DGL) containers. These containers will enable developers to work more efficiently in an integrated, GPU-accelerated environment that combines DGL and PyTorch.

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