NVIDIA Powers AI Supercomputing, Scientific Innovations, and HPC Research

Title: NVIDIA Revolutionizes High-Performance Computing and Scientific Innovations

Introduction:

NVIDIA, the world leader in accelerated computing, is making a fundamental shift in the high-performance computer (HPC) industry. This week, NVIDIA announced that new supercomputers around the globe are using NVIDIA Grace Hopper Superchips (GH200). The supercomputing systems using these chips represent a combined total of 200 exaflops of computational AI processing power, equivalent to a staggering 200 quintillion calculations per second.

AI-Powered Systems for Advanced Supercomputing:

NVIDIA's AI chips are accelerating innovation for AI-powered systems for advanced supercomputing and scientific discovery. The chipmaker announced that new supercomputers are using the NVIDIA Grace Hopper Superchips (GH200). These supercomputers include JUPITER at the Jülich Supercomputing Centre in Germany, CEA at the French Alternative Energies and Atomic Energy Commission, and Alps at the Swiss National Supercomputing Centre from Hewlett-Packard Enterprise (HPE).

Transforming Industries with Efficiency:

AI is transforming research into climate change, speeding drug discovery, and leading to breakthroughs in dozens of other fields. NVIDIA Grace Hopper-powered systems are becoming an essential part of HPC for their ability to transform industries while driving better energy efficiency.

Quantum Computing Efforts:

NVIDIA has also announced its goal to accelerate its quantum computing efforts. The company is installing the open-source NVIDIA CUDA-Q platforms at several international sites. These platforms power quantum processing units (QPUs), which are designed to perform complex quantum simulations and optimization tasks. QPUs enable researchers to leverage quantum parallelism for rapid computations and enhance machine learning algorithms to accelerate scientific discovery and innovation.

NVIDIA Earth-2 Platform:

In March this year, NVIDIA introduced the Earth-2 platform for predicting global climate using simulation by AI supercomputers. The platform, which is part of NVIDIA CUDA-X microservices software, has the potential to provide highly accurate insights into weather fluctuations and provide timely warnings to mitigate the rising threat of climate disasters around the globe.

Applications in Healthcare and Life Sciences:

The power and efficiency of NVIDIA GPUs are being utilized at Argonne National Laboratory, a multidisciplinary science and engineering research center in Illinois, to generate gene sequences that help them better understand the virus behind COVID-19 and accelerate medical discoveries. Earlier this year, Microsoft expanded its partnership with NVIDIA with powerful new integrations to advance AI infrastructure and accelerate research in healthcare and life sciences.

Microsoft's MatterGen Model:

Microsoft Research showed how generative AI can accelerate work in materials science. Their MatterGen model generates novel, stable materials that exhibit desired properties. The approach enables specifying chemical, magnetic, electronic, mechanical, and other desired properties. Companies such as Carbon3D are already finding opportunities, applying generative AI to materials science in commercial 3D printing operations.

Sandia National Laboratories' Efforts:

Researchers at Sandia National Laboratories are applying generative AI to HPC jobs in code generation, weather forecasting, genetics, and materials science. Sandia is employing retrieval-augmented generation (RAG) to create and link a Kokkos database with AI models. As researchers experiment with different RAG approaches, initial tests show promising results.

CorrDiff Model in Weather Forecasting:

Researchers and companies in weather forecasting are embracing CorrDiff, a generative AI model that’s part of NVIDIA Earth-2, a set of services and software for weather and climate research. CorrDiff can scale the 25km resolution of traditional atmosphere models down to 2 kilometers and expand by more than 100x the number of forecasts that can be combined to improve confidence in predictions.

Future Prospects:

The technological advancements enabled by NVIDIA are busting bottlenecks in AI supercomputing, HPC research, and scientific discoveries. From predicting global climate change patterns to the discovery of new materials, the contributions of NVIDIA technologies to the scientific community are profound. As NVIDIA continues to roll out more advanced technologies, we can expect the chipmaker to play a key role in the next wave of scientific breakthroughs and transformative innovations.

Conclusion:

NVIDIA's leadership in the field of AI and high-performance computing is driving a new era of scientific discovery and technological advancements. The company's innovative platforms and models are revolutionizing how researchers approach complex problems, from climate prediction to material science. As the world continues to evolve with AI, NVIDIA's role in shaping this transformation is unparalleled.

References: --------------: https://blogs.nvidia.com/blog/generative-ai-science-isc/: https://www.enterpriseai.news/2024/05/15/nvidia-powers-ai-supercomputing-scientific-innovations-and-hpc-research/: https://www.nvidia.com/en-me/: https://www.newyorker.com/magazine/2023/12/04/how-jensen-huangs-nvidia-is-powering-the-ai-revolution: https://apnews.com/article/nvidia-artificial-intelligence-ai-gaming-1acc94ebbe6a59f728742ca20b3532cf