NVIDIA, the world leader in accelerated computing, is driving fundamental change in the high-performance computing (HPC) industry. This week, NVIDIA detailed how its AI chips are accelerating innovation in AI-powered systems for advanced supercomputing and scientific discovery.
The chipmaker announced at the ISC High Performance event in Hamburg that new supercomputers around the world are using the NVIDIA Grace Hopper superchip (GH200). These include the supercomputer JUPITER at Germany's Jülich Supercomputing Center, his CEA at the French Alternative Energy and Atomic Energy Commission, and Alps at Hewlett Packard Enterprise's (HPE) Swiss National Supercomputing Center.
According to NVIDIA, a supercomputing system using Grace Hopper chips is equivalent to 200 exaflops of total computational AI processing power. This equates to a staggering 2 quintillion calculations per second.
“AI is accelerating climate change research, accelerating drug discovery, and driving breakthroughs in dozens of other areas,” said Ian Buck, vice president of hyperscale and HPC at NVIDIA. Masu. “Systems powered by NVIDIA Grace Hopper are becoming an important part of HPC because they can transform industries while improving energy efficiency.”
NVIDIA also announced its goal to accelerate its quantum computing efforts, including deploying the open source NVIDIA CUDA-Q platform at multiple international locations.
CUDA-Q is an open-source accelerated computing platform that powers quantum processing units (QPUs), specialized and designed to perform quantum computations that are too computationally intensive for traditional computing.
QPUs enable researchers to perform complex quantum simulation and optimization tasks. In addition, you can leverage quantum parallel processing to perform faster calculations and power machine learning algorithms to accelerate scientific discovery and innovation.
“Useful quantum computing is made possible by the tight integration of quantum and GPU supercomputing,” Tim Costa, director of quantum and HPC at NVIDIA, said in a statement. “NVIDIA's quantum computing platform will help pioneers like AIST, JSC, and PSNC push the boundaries of scientific discovery and advance the cutting edge of quantum integrated supercomputing.”
In March of this year, NVIDIA introduced the Earth-2 platform, which uses AI supercomputer simulations to predict Earth's climate. The platform is part of NVIDIA CUDA-X microservices software and has the potential to provide highly accurate insights into climate change and provide timely warnings to reduce the growing threat of climate disasters around the world. there is.
The power and efficiency of NVIDIA GPUs is also being used at Argonne National Laboratory, an interdisciplinary science and engineering research center in Illinois, to better understand the virus behind COVID-19. It is used to generate gene sequences that help accelerate medical discovery.
Earlier this year, Microsoft expanded its partnership with NVIDIA with powerful new integrations with NVIDIA technology to advance AI infrastructure and accelerate research in healthcare and life sciences.
Technology advances enabled by NVIDIA are eliminating bottlenecks in AI supercomputing, HPC research, and scientific discovery. From predicting global climate change patterns to discovering new materials, NVIDIA technology's contributions to the scientific community are significant. As NVIDIA continues to roll out more advanced technology, you can expect the chipmaker to play a key role in the next wave of scientific breakthroughs and breakthrough innovations.
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