Nvidia

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Nvidia at ISC 2021

Speaker: Marc Hamilton, VP of Solutions Architecture and Engineering, NVIDIA Panelists: Nicola Rieke, Dion Harris, Timothy Costa, Gilad Shainer, Geetika Gupta

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Top 500 Interconnect Trends

Published twice a year and publicly available at www.top500.org, the TOP500 supercomputing list ranks the world’s most powerful computer systems according to the Linpack benchmark rating system.

Taken from Nvidia Networking

Summary of Findings for Nvidia Networking.

  • NVIDIA GPU or Network (InfiniBand, Ethernet) accelerate 342 systems or 68% of overall TOP500 systems
  • InfiniBand accelerates seven of the top ten supercomputers in the world
  • NVIDIA BlueField DPU and HDR InfiniBand Networking accelerate the world’s 1st academic cloud-native supercomputer at Cambridge University
  • NVIDIA InfiniBand and Ethernet networking solutions connect 318 systems or 64% of overall TOP500 platforms
  • InfiniBand accelerates 170 systems, 21% growth compared to June 2020 TOP500 list
  • InfiniBand accelerates #1, #2 supercomputers in the US, #1 in China, #1, #2 and #3 in Europe
  • NVIDIA 25 gigabit and faster Ethernet solutions connect 62% of total Ethernet systems
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Storage Performance Basics for Deep Learning

This is an interesting write-up from James Mauro from Nvidia on Storage Performance Basics for Deep Learning.

“The complexity of the workloads plus the volume of data required to feed deep-learning training creates a challenging performance environment. Deep learning workloads cut across a broad array of data sources (images, binary data, etc), imposing different disk IO load attributes, depending on the model and a myriad of parameters and variables.”

For Further Reads… Do take a look at https://developer.nvidia.com/blog/storage-performance-basics-for-deep-learning/

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GTC 2021 Keynote with NVIDIA CEO Jensen Huang

NVIDIA CEO Jensen announced NVIDIA’s first data center CPU, Grace, named after Grace Hopper, a U.S. Navy rear admiral and computer programming pioneer. Grace is a highly specialized processor targeting largest data intensive HPC and AI applications as the training of next-generation natural-language processing models that have more than one trillion parameters.

Further accelerating the infrastructure upon which hyperscale data centers, workstations, and supercomputers are built, Huang announced the NVIDIA BlueField-3 DPU.

The next-generation data processing unit will deliver the most powerful software-defined networking, storage and cybersecurity acceleration capabilities.

Where BlueField-2 offloaded the equivalent of 30 CPU cores, it would take 300 CPU cores to secure, offload, and accelerate network traffic at 400 Gbps as BlueField-3— a 10x leap in performance, Huang explained.