Nvidia

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The Data Centre is the New Unit of Computing

A revisit on Nvidia GTC 2021. A worthwhile thought to think through.

NVIDIA BlueField-3 DPU, the most powerful software-defined, hardware-accelerated data center on a chip. The #datacenter is the new unit of computing and the BlueField-2 DPU is now available to offload and accelerate the networking, storage, and security tasks within overtaxed data centers.

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NVIDIA Special Address at SIGGRAPH 2021

NVIDIA and SIGGRAPH share a long history of innovation and discovery. Over the last 25 years our community has seen giant leaps forward, driven by brilliant minds and curious explorers. We are now upon the opening moments of an AI-powered revolution in computer graphics with massive advancements in rendering, AI, simulation, and compute technologies across every industry. With open standards and connected ecosystems, we are on the cusp of achieving a new way to interact and exist with graphics in shared virtual worlds.

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NVIDIA Special Address | MWC Barcelona 2021

In a special address at MWC Barcelona 2021, NVIDIA announced its partnership with Google Cloud to create the industry’s first AI-on-5G open innovation lab that will speed AI application development for 5G network operators.

Additional announcements included: ● Extending the 5G ecosystem with Arm CPU cores on NVIDIA BlueField-3 DPUs ● Launching NVIDIA CloudXR 3.0 with bidirectional audio for remote collaboration

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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/