Nvidia’s AI-powered supercomputers advance nuclear fusion research

The most powerful supercomputers on the planet are used to perform all kinds of complex operations. Increasingly, they are being used to enable AI for research that could one day impact billions of people.

The world’s fastest and most powerful supercomputers (HPC) take center stage at the International Conference on Supercomputing (ISC) that runs from May 29 to June 2 in Hamburg, Germany. As part of the ISC event, Nvidia will provide insight into the latest HPC systems and the use cases they enable.

“HPC plus AI is truly a transformative tool for scientific computing,” said Dion Harris, senior director of technology marketing for accelerated computing, at a media briefing before the ISC. “We’re talking about AI at Exascale because we think that’s going to be one of the key pivotal tools to drive scientific innovation and any data center building a supercomputer needs to understand how their system is performing from an AI point of view.”

US-based Grace Hopper Super-chip Supercomputer Coming to Los Alamos National Laboratory

Nvidia first announced a file Blessing ARM-based CPUs in April 2021, with the goal of including them in HPC deployments. The goal is now paying off.

At ISC 2022, Nvidia announced that Los Alamos National Laboratory and Hewlett Packard Enterprise (HPE) are building the Venado, the first supercomputer in the United States to use the Grace chip architecture.

The Venado supercomputer uses a combination of Grace and Grace Hopper chips, in a system that is expected to deliver 10 exaflops of AI performance. The Venado system will be used in materials science, renewable energy, as well as energy distribution research.

Nvidia-powered AI enables brain imaging research

Brain imaging is among the HPC and AI use cases that Nvidia announces at ISC 2022.

King’s College of London uses Nvidia supported system Cambridge 1 system, which is the most powerful supercomputer in the UK, along with Open Source Monai An AI framework optimized for medical imaging use cases.

Powerful hardware and artificial intelligence software have been used to produce the world’s largest database of artificial brain images.

An important reason, Harris explained, is the amount of AI-driven research to identify conditions such as Alzheimer’s disease or dementia. “But in order to train those models, you need big databases,” he said.

There are many privacy concerns when real patient data is used, which is why it is important for researchers to have access to it Synthetic datahe added.

“This is a real example of HPC not only delivering velocities and feeds, but really making real contributions to the scientific and research community,” Harris said.

nuclear fusion reactor modeling

As people all over the world try to find solutions to challenges Global WarmingOne of the primary strategies is to identify renewable energy sources.

Nuclear fusion reactors could be one of these sources. Nuclear reactors today are based on fission and generate radioactive waste. The promise of fusion is that it can provide large amounts of energy, without the same waste as fission.

At ISC 2022, Nvidia announces that the British Atomic Energy Authority (AEA) is using Nvidia Omniverse A simulation platform to accelerate the design and development of a comprehensive fusion reactor.

Using the Nvidia Omniverse, researchers can build a fully functional device digital twin for the reactor, helping to ensure that the most efficient designs are chosen for construction,” Harris said.

The goal of Omniverse and Digital Twin is to have a replica of the fusion reactor system. The UK’s AEA also plans to simulate the physics of fusion plasma containment itself. The simulation will be performed using a file Nvidia Labs An artificial intelligence physics framework for realistic modeling of how a fusion reaction occurs and is contained.

“The holy grail of fusion energy is the ability to not only create a fusion reaction, but make it sustainable,” Harris said. “We really think this is going to be a path toward sustainable energy.”