Speaker: Marc Hamilton, VP of Solutions Architecture and Engineering, NVIDIA Panelists: Nicola Rieke, Dion Harris, Timothy Costa, Gilad Shainer, Geetika Gupta
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.
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
by NVIDIA CEO Jensen Huang’s Teratec Keynote: The Industrial HPC Revolution
The Transformational Power of Accelerated Computing, From Gaming to the Enterprise Data Center.
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/
The NGC catalog is a hub of GPU-optimized AI, high-performance computing (HPC), and data analytics software that simplifies and accelerates end-to-end workflows
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.
Taken from Sharcnet HPC
The Video will consider two cases – when the GPUs are inside a single node, and a multi-node case.
Join the NVIDIA Jetson team for the latest episode of our AMA-style live stream, Jetson AI Labs.