NVIDIA DGX SuperPOD, World’s 22nd Fastest Supercomputer, to Support Company’s Autonomous Vehicle Program

June 17, 2019 Brandon Lewis

NVIDIA has unveiled the DGX SuperPOD, the world’s 22nd fastest supercomputer designed to provide AI infrastructure for autonomous vehicles. Based on 96 NVIDIA DGX-2H supercomputers and Mellanox interconnect technology, the DGX SuperPOD provides 9.4 petaflops of computing horsepower.

The NVIDIA DGX SuperPOD is powered by 1,536 NVIDIA V100 Tensor Core GPUs connected by the NVIDIA NVSwitch and Mellanox network fabric. The system can train a ResNet-50 model in less than two minutes, according to NVIDIA, 18,000x faster than solutions of just four years ago. The company also states that the DGX-2H is 400x smaller than other TOP500 supercomputers.

The system was built in three weeks, NVIDIA says. The company plans to apply it to autonomous vehicle use cases that require neural networks be retrained tens of thousands of times to deliver the extreme accuracy needed in automotive systems.

Organizations looking to take advantage of the NVIDIA SuperPOD architecture can access it through the DGX-Ready Data Center program.

 

About the Author

Brandon Lewis

Brandon Lewis, Editor-in-Chief of Embedded Computing Design, is responsible for guiding the property's content strategy, editorial direction, and engineering community engagement, which includes IoT Design, Automotive Embedded Systems, the Power Page, Industrial AI & Machine Learning, and other publications. As an experienced technical journalist, editor, and reporter with an aptitude for identifying key technologies, products, and market trends in the embedded technology sector, he enjoys covering topics that range from development kits and tools to cyber security and technology business models. Brandon received a BA in English Literature from Arizona State University, where he graduated cum laude. He can be reached by email at brandon.lewis@opensysmedia.com.

Follow on Twitter Follow on Linkedin Visit Website More Content by Brandon Lewis
Previous Article
G.SKILL DDR4 Memory Achieves DDR4-5886 & 23 Overclocking Records During Computex 2019

G.SKILL International Enterprise Co., Ltd. is excited to announce that 23 overclocking records in various b...

Next Article
Wary of Exception Handling in C++?

The Exception Handling System (EHS) in C++ has absolutely nothing to be with exceptions in the sense of bei...