AI Networking – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Rick Ratzel <![CDATA[NetworkX Introduces Zero Code Change Acceleration Using NVIDIA cuGraph]]> http://www.open-lab.net/blog/?p=90753 2024-10-31T16:21:22Z 2024-10-22T18:00:00Z NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular...]]> NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular...Decorative image.

NetworkX accelerated by NVIDIA cuGraph is a newly released backend co-developed with the NetworkX team. NVIDIA cuGraph provides GPU acceleration for popular graph algorithms such as PageRank, Louvain, and betweenness centrality. Depending on the algorithm and graph size, it can significantly accelerate NetworkX workflows, up to 50x, even 500x over NetworkX on CPU. In this post��

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Tim Lustig <![CDATA[Modernizing the Data Center with Accelerated Networking]]> http://www.open-lab.net/blog/?p=77260 2024-10-11T20:02:17Z 2024-01-30T20:00:00Z Accelerated networking combines CPUs, GPUs, DPUs (data processing units), or SuperNICs into an accelerated computing fabric specifically designed to optimize...]]> Accelerated networking combines CPUs, GPUs, DPUs (data processing units), or SuperNICs into an accelerated computing fabric specifically designed to optimize...

Accelerated networking combines CPUs, GPUs, DPUs (data processing units), or SuperNICs into an accelerated computing fabric specifically designed to optimize networking workloads. It uses specialized hardware to offload demanding tasks to enhance server capabilities. As AI and other new workloads continue to grow in complexity and scale, the need for accelerated networking becomes paramount.

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