Nvidia has announced nine new supercomputers worldwide are using Nvidia Grace Hopper Superchips to speed scientific research and discovery.

Combined, the systems deliver 200 exaflops, or 200-quintillion calculations per second, of energy-efficient AI processing power.

New Grace Hopper-based supercomputers coming online include EXA1-HE, in France, from CEA and Eviden; Helios at Academic Computer Centre Cyfronet, in Poland, from Hewlett Packard Enterprise (HPE); Alps at the Swiss National Supercomputing Centre, from HPE; Jupiter at the J├╝lich Supercomputing Centre, in Germany; DeltaAI at the National Centre for Supercomputing Applications at the University of Illinois Urbana-Champaign; and Miyabi at Japan’s Joint Center for Advanced High Performance Computing — established between the Centre for Computational Sciences at the University of Tsukuba and the Information Technology Centre at the University of Tokyo.

CEA, the French Alternative Energies and Atomic Energy Commission, and Eviden, an Atos Group company, in April announced the delivery of the EXA1-HE supercomputer, based on Eviden’s BullSequana XH3000 technology. The BullSequana XH3000 architecture offers a new, patented warm-water cooling system, while the EXA1-HE is equipped with 477 compute nodes based on Grace Hopper.

“AI is accelerating research into climate change, speeding drug discovery and leading to breakthroughs in dozens of other fields,” says Ian Buck, vice-president of hyperscale and HPC at Nvidia. “Nvidia Grace Hopper-powered systems are becoming an essential part of HPC for their ability to transform industries while driving better energy efficiency.”

In addition, Isambard-AI and Isambard 3 from the University of Bristol in the UK and systems at the Los Alamos National Laboratory and the Texas Advanced Computing Centre in the US join a growing wave of Nvidia Arm-based supercomputers using Grace CPU Superchips and the Grace Hopper platform.

The drive to construct new, more efficient, AI-based supercomputers is accelerating as countries around the world recognise the strategic and cultural importance of sovereign AI — investing in domestically owned and hosted data, infrastructure and workforces to foster innovation.

Bringing together the Arm-based Nvidia Grace CPU and Nvidia Hopper GPU architectures using Nvidia NVLink-C2C interconnect technology, GH200 serves as the engine behind scientific supercomputing centres across the globe. Many centers are planning to go from system installation to real science in months instead of years.

Isambard-AI phase one consists of an HPE Cray EX2500 supercomputer with 168 Nvidia GH200 Superchips, making it one of the most efficient supercomputers ever built. When the remaining 5 280 Nvidia Grace Hopper Superchips arrive at the University of Bristol’s National Composites Centre this summer, it will increase performance by about 32x.

“Isambard-AI positions the UK as a global leader in AI, and will help foster open science innovation both domestically and internationally,” says Simon McIntosh-Smith, professor of high-performance computing at the University of Bristol. “Working with Nvidia, we delivered phase one of the project in record time, and when completed this summer will see a massive jump in performance to advance data analytics, drug discovery, climate research and many more areas.”

Nvidia’s accelerated computing platform comprises Nvidia Hopper architecture-based GPUs, Nvidia Grace CPU Superchips, Nvidia Grace Hopper Superchips, Nvidia Quantum-2 InfiniBand networking and a full suite of Nvidia AI and HPC software.