NVIDIA highlights new AI infrastructure for science and robotics

NVIDIA’s latest updates emphasize AI infrastructure for scientific research, including work tied to the U.S. National Science Foundation’s National Artificial Intelligence Research Resource pilot program, which has supported over 700 projects across areas such as protein prediction and infectious disease research. At the ISC conference in Hamburg, NVIDIA introduced software intended to speed AI for science, including tools for chemistry, materials discovery and dark matter research.

Several announcements focus on high-performance computing systems. Los Alamos National Laboratory plans new supercomputers with HPE and NVIDIA using NVIDIA Vera CPUs, while JUPITER, Europe’s first exascale supercomputer at Germany’s Forschungszentrum Jülich, runs on NVIDIA Grace Hopper Superchips and NVIDIA Quantum-X800 InfiniBand networking. NVIDIA also said a record 35 NVIDIA AI HPC supercomputers are in development across Europe, aimed at supporting more than 3 million researchers.

Other updates point to broader AI infrastructure needs. NVIDIA announced Halos for Robotics, described as a full-stack safety system for robotics and physical AI, and highlighted cooling advances for AI servers that can run liquid cooling up to 45 degrees Celsius, or 113 degrees Fahrenheit. Energy and grid concerns also feature in coverage of Federal Energy Regulatory Commission action on large-load interconnection.