Deploying GPUDirect RDMA on the EGX Stack with the NVIDIA Network Operator – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-19T06:00:00Z http://www.open-lab.net/blog/feed/ Jacob Liberman <![CDATA[Deploying GPUDirect RDMA on the EGX Stack with the NVIDIA Network Operator]]> http://www.open-lab.net/blog/?p=21167 2022-08-21T23:40:40Z 2020-09-30T01:30:56Z Edge computing takes place close to the data source to reduce network stress and improve latency. GPUs are an ideal compute engine for edge computing because...]]> Edge computing takes place close to the data source to reduce network stress and improve latency. GPUs are an ideal compute engine for edge computing because...

Edge computing takes place close to the data source to reduce network stress and improve latency. GPUs are an ideal compute engine for edge computing because they are programmable and deliver phenomenal performance per dollar. However, the complexity associated with managing a fleet of edge devices can erode the GPU��s favorable economics. In 2019, NVIDIA introduced the GPU Operator to��

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