Key Highlights
- Over 80 new scientific systems powered by NVIDIA accelerated computing platform have been unveiled globally in the last year
- America’s largest academic supercomputer, the 300-petaflop Horizon system, is set to accelerate breakthroughs in science and engineering
- NVIDIA-accelerated supercomputers are fueling research in areas such as healthcare, weather and climate modeling, robotics, and materials science
The world of research is undergoing a significant transformation, driven by the increasing adoption of accelerated computing. This move reflects broader industry trends, where researchers are leveraging the power of artificial intelligence (AI) and high-performance computing to tackle complex problems. At the forefront of this revolution is NVIDIA, whose accelerated computing platform is being used to power a new wave of supercomputers around the globe.
Accelerating Scientific Discovery
The recent SC25 conference in St. Louis, Missouri, saw NVIDIA announce the unveiling of over 80 new scientific systems powered by its accelerated computing platform. These systems, which include the Horizon supercomputer at the Texas Advanced Computing Center (TACC), are set to contribute to a combined total of 4,500 exaflops of AI performance. The Horizon system, in particular, is expected to play a significant role in accelerating breakthroughs in science and engineering, with its 4,000 NVIDIA Blackwell GPUs delivering up to 80 exaflops of AI compute at FP4 precision.
Global Research Initiatives
NVIDIA-accelerated supercomputers are not only limited to the United States but are also being deployed in other parts of the world. In Europe, the Jülich Supercomputing Centre’s JUPITER system has achieved exaflop performance on the HPL benchmark, making it Europe’s first exascale computer. Other notable initiatives include:
- Blue Lion, a system at Germany’s Leibniz Supercomputing Centre, which will be powered by the NVIDIA Vera Rubin platform
- Gefion, Denmark’s first AI supercomputer, which is an NVIDIA DGX SuperPOD
- Isambard-AI, the U.K.’s most powerful AI supercomputer, which is being used for projects including Nightingale AI and UK-LLM
Conclusion and Future Outlook
The increasing adoption of NVIDIA-accelerated supercomputers is set to have a profound impact on the world of research. With the ability to process vast amounts of data and perform complex simulations, these systems are enabling researchers to tackle problems that were previously unsolvable. As the use of AI and high-performance computing continues to grow, we can expect to see significant breakthroughs in various fields, from healthcare and climate modeling to materials science and beyond.
Source: Official Link