Digital Event Horizon
NVIDIA has made significant strides in accelerating scientific discovery through artificial intelligence, with over 80 new systems powered by its accelerated computing platform launched globally in the past year. This achievement underscores the company's leadership in providing a unified architecture, scale, and efficiency for driving global research and innovation.
NVIDIA unveiled an unprecedented milestone in its mission to accelerate scientific discovery through artificial intelligence. The company revealed that over 80 new scientific systems powered by the NVIDIA accelerated computing platform have been launched globally in the past year, contributing to a combined total of 4,500 exaflops of AI performance. NVIDIA's full-stack accelerated computing platform is providing the unified architecture, scale, and efficiency required for advancing science sustainably and at unprecedented speed. The TACC Horizon supercomputer will accelerate breakthroughs in science and engineering, offering unprecedented computing capabilities for discovery and innovation. NVIDIA-accelerated supercomputers are fueling global research by nations and private companies in areas such as healthcare, weather and climate modeling, robotics, manufacturing, quantum computing research, and materials science.
In a groundbreaking announcement at this year's SC25 conference, NVIDIA unveiled an unprecedented milestone in its mission to accelerate scientific discovery through artificial intelligence. The company revealed that over 80 new scientific systems powered by the NVIDIA accelerated computing platform have been launched globally in the past year, contributing to a combined total of 4,500 exaflops of AI performance.
This staggering achievement underscores the significant impact of NVIDIA's technology on driving global research and innovation across various disciplines, including quantum physics, digital biology, climate research, and more. The company's full-stack accelerated computing platform, spanning GPUs, CPUs, DPUs, NICs, scale-out switches, CUDA-X libraries, and NVIDIA AI Enterprise software, has provided the unified architecture, scale, and efficiency required to advance science sustainably and at unprecedented speed.
Among these newly launched systems is America's largest academic supercomputer, the 300-petaflop Horizon system at the Texas Advanced Computing Center (TACC). Slated for online deployment in 2026, this system will be powered by NVIDIA GB200 NVL4 and NVIDIA Vera CPU servers, interconnected with NVIDIA Quantum-X800 InfiniBand networking. Horizon is set to accelerate breakthroughs in science and engineering, offering the nation's research community unprecedented computing capabilities for discovery and innovation.
The TACC Horizon supercomputer is designed to support a specific set of scientific modeling and simulation applications, including simulating the mechanics of disease, modeling stars and galaxies across the universe, investigating novel materials at atomic scale, and mapping seismic waves to prepare for earthquakes. According to John Cazes, director of high-performance computing at TACC, "Horizon will enable our scientists to pursue ambitious scientific research at unprecedented scale."
The successful deployment of Horizon is part of a new wave of NVIDIA-accelerated supercomputers fueling global research by nations and private companies in areas such as healthcare, weather and climate modeling, robotics, manufacturing, quantum computing research, and materials science. These systems demonstrate the significant impact of NVIDIA's technology on advancing scientific knowledge and driving innovation across various fields.
Other notable examples of NVIDIA-accelerated supercomputers include Blue Lion, Gefion, Isambard-AI, and Japan's National Institute of Advanced Industrial Science and Technology's ABCI-Q, the world's largest research supercomputer dedicated to quantum computing. These systems showcase NVIDIA's leadership in providing a unified architecture, scale, and efficiency for accelerating scientific discovery.
In addition to these global deployments, the company is also expanding its presence in Europe through partnerships with top research institutions and organizations. The Swiss National Supercomputing Centre recently broke the exaflop barrier on the Linpack benchmark, achieving 1 quintillion floating-point operations per second on a system powered by NVIDIA GH200 Grace Hopper Superchips.
Furthermore, Argonne National Laboratory (ANL) in Illinois and Los Alamos National Laboratory (LANL) in New Mexico have partnered with NVIDIA to build seven new AI supercomputers, including the Solstice system featuring 100,000 NVIDIA Blackwell GPUs. This system is set to become one of the most powerful AI computing systems in the world, with a staggering 1,000 exaflops of AI training compute for training.
The deployment of these advanced computing systems underscores NVIDIA's commitment to advancing scientific discovery and driving innovation across various fields. As the company continues to push the boundaries of what is possible with artificial intelligence, its technology will undoubtedly play a pivotal role in shaping the future of science and engineering.
In conclusion, the recent announcement by NVIDIA highlights the significant impact of the company's accelerated computing platform on accelerating scientific discovery worldwide. With over 80 new systems launched globally in the past year, contributing to a combined total of 4,500 exaflops of AI performance, NVIDIA is poised to continue driving innovation and advancing scientific knowledge across various disciplines.
Related Information:
https://www.digitaleventhorizon.com/articles/NVIDIA-Revolutionizes-Scientific-Discovery-Accelerating-AI-Across-80-New-Systems-Worldwide-deh.shtml
https://blogs.nvidia.com/blog/sc25-new-science-systems-worldwide/
https://www.computerworld.com/article/4091444/nvidias-new-ai-physics-model-can-help-design-chips-and-a-whole-lot-more.html
Published: Mon Nov 17 17:01:17 2025 by llama3.2 3B Q4_K_M
