NVIDIA technologies power more than 400 of the world's 500 fastest supercomputers—81% of the TOP500—according to the latest rankings released at the ISC High Performance conference in Hamburg, Germany. The company has gained 17 systems from the previous list, with momentum accelerating: nearly nine of every 10 systems new to the ranking are built on NVIDIA technologies.

This reflects a deliberate market preference for machines designed for AI, simulation, and scientific computing working in concert. The impact is compounding: NVIDIA systems across the TOP500 now deliver more than twice the AI training throughput and nearly three times the AI inference throughput of every other platform combined.

GPU and networking adoption have each reached record levels. NVIDIA GPUs accelerate 238 systems, while NVIDIA networking connects 376—the vast majority on NVIDIA Quantum InfiniBand, which serves as the backbone for large-scale AI and high-performance computing, with the remainder running on Ethernet.

NVIDIA's influence now spans the complete system stack—GPU, networking, and increasingly CPU. NVIDIA Grace CPU adoption has reached 26 systems, up eight from the previous list, with nearly 2.5 million Grace CPUs shipped. JUPITER and Alps, both Grace-based machines, rank at No. 5 and No. 10 respectively on the TOP500, while KAIROS leads the Green500 list. Each system pairs an NVIDIA GPU with the Grace CPU in a single NVIDIA Grace Hopper Superchip, enabling the two to share memory with minimal overhead—a design architecture built for the memory-intensive demands of modern AI.

The NVIDIA Vera CPU, announced earlier this year, extends the Grace lineage by delivering enhanced CPU performance and energy efficiency for the most demanding AI workloads in modern data centers, where agents are progressing from answering basic questions to taking actions, running code, using tools, and evaluating results.

NVIDIA has swept the Green500 ranking of energy-efficient supercomputers: the top eight all run on NVIDIA GPUs, and nine of the top 10 use NVIDIA technologies. KAIROS, an NVIDIA Grace Hopper system at France's University of Toulouse, leads at 73.3 gigaflops per watt, with Grace Hopper systems occupying the top four positions across France, Germany, and the U.K.

In Europe, a record 35 NVIDIA AI HPC supercomputers are in development, equipping more than 3 million researchers with next-generation infrastructure for continental AI, accelerated science, and industrial innovation. JUPITER, Europe's fastest supercomputer and its first to reach exascale, operates at the Jülich Supercomputing Centre in Germany, mapping the human brain at cellular scale, simulating Earth's climate, and advancing AI for next-generation 6G networks.

The newest systems entering the rankings run on the NVIDIA Blackwell architecture, with B200 and GB200 systems deployed across Asia, Europe, and the U.S., including the first GB200 systems in Japan. This buildout spans the globe—from a new AI factory in South Africa to national AI systems in Saudi Arabia, Singapore, and Vietnam. Across the board, the world's AI infrastructure is built on NVIDIA.