Mellanox Works with VMware and NVIDIA to Enable Virtualized Machine Learning Solutions

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According to a recent press release, “Mellanox Technologies, Ltd., a leading supplier of high-performance, end-to-end smart interconnect solutions for data center servers and storage systems, today announced that its RDMA (Remote Direct Memory Access) networking solutions for VMware vSphere enable virtualized Machine Learning solutions that achieve higher GPU utilization and efficiency. Benchmarks demonstrate that the NVIDIA® vComputeServer (vCS) for virtualized GPUs achieve two times better efficiency by using VMware’s paravirtualized RDMA (PVRDMA) technology than when using traditional networking protocols. The benchmark was performed on a four-node cluster running vSphere 6.7 equipped with NVIDIA T4 GPUs with vCS software and Mellanox ConnectX-5 100 GbE SmartNICs, all connected by a Mellanox Spectrum SN2700 100 GbE switch.”

The release continues, “The PVRDMA Ethernet solution enables VM-to-VM communication over RDMA, which boosts data communication performance in virtualized environments while achieving significantly higher efficiency compared with legacy TCP/IP transports. Additionally, PVRDMA retains core virtual machine capabilities such as vMotion. This translates to real-world customer advantages including optimized server and GPU utilization, reduced machine learning training time and improved scalability. Using PVRDMA also shrinks backup times, improves data center simplicity, simplifies consolidation, lowers power consumption and reduces total cost of ownership.”

Read more at Real Wire.

Image used under license from Shutterstock.com

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