Accelerated Supercomputers Hit New Highs

NVIDIA has made an appearance in the TOP500 list of the world’s fastest supercomputers. The coveted list shows a 48% jump in one year in the number of systems using NVIDIA GPU accelerators. The total climbed to 127 from 86 a year ago and is three times greater than five years ago.


NVIDIA GPUs power the world’s two fastest supercomputers: the U.S. Department of Energy’s Summit, at Oak Ridge National Laboratory, and Sierra, at Lawrence Livermore National Lab.  Combined, the two systems employ more than 40,000 NVIDIA V100 Tensor Core GPUs. Europe’s and Japan’s fastest supercomputers are also accelerated by NVIDIA GPUs.

Fierce AI Week

Register today for Fierce AI Week - a free virtual event | August 10-12

Advances in AI and Machine Learning are adding an unprecedented level of intelligence to everything through capabilities such as speech processing and image & facial recognition. An essential event for design engineers and AI professionals, Engineering AI sessions during Fierce AI Week explore some of the most innovative real-world applications today, the technological advances that are accelerating adoption of AI and Machine Learning, and what the future holds for this game-changing technology.


Also, of note, the GREEN500 list, which measures the energy-efficiency of the world’s fastest systems, shows that NVIDIA powers 22 of the top 25 “greenest” systems.


The latest list marks another milestone -- for the first time, nearly half of its compute power -- 702 of 1,417 petaflops-- comes from accelerated systems. Prior to 10 years ago, no accelerated systems appeared on the list. It shows that 52, or one-third, of the 153 systems debuting on the TOP500 are GPU-accelerated, compared with 33 new GPU-accelerated systems on the list a year ago. For more knowledge, visit NVIDIA.

Suggested Articles

Iowa State University researchers are working with NSF grant

Brain Corp. reported a sharp increase in autonomous robot usage in 2Q

Nvidia DGX accelerators helped train system from 150,000 chest X-rays with inference results in less than a second