NVIDIA is driving a new era of high-performance computing, empowering scientists to unlock groundbreaking discoveries across various fields. From quantum mechanics to climate modeling, the 80 newly launched scientific systems highlight the company’s growing influence in global research infrastructure, enhancing the capabilities of data-intensive projects worldwide with unmatched AI acceleration and efficiency.
At NVIDIA’s SC25 showcase, attention centered on sustainability and energy efficiency in AI-powered supercomputers. The integration of NVIDIA GB200 NVL4 and Vera CPU servers promises reduced energy use while maximizing output. Experts note these advancements mark a major leap, positioning NVIDIA as a key catalyst for next-generation scientific computing and innovation.
NVIDIA-Powered Horizon Set to Advance High-Performance Research at TACC
The Horizon supercomputer, equipped with 4,000 NVIDIA Blackwell GPUs, is capable of reaching up to 80 exaflops of AI performance at FP4 precision. Developed at the Texas Advanced Computing Center (TACC), Horizon is purpose-built to support complex scientific modeling and simulation projects across a variety of disciplines.
Researchers aim to use Horizon for groundbreaking studies, including simulating the mechanics of disease through molecular dynamics and AI-driven modeling. Astrophysicists plan to explore star and galaxy formation, using data from the James Webb Space Telescope, while materials scientists will analyze quantum-level structures and turbulence in emerging materials.
In addition, seismologists will leverage Horizon’s immense computational power to map seismic waves and improve earthquake preparedness. According to John Cazes, director of high-performance computing at TACC, this system will empower researchers to tackle ambitious, AI-driven projects at an unprecedented scale, transforming global scientific exploration.
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