NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers

NVIDIA technologies power over 400 of the world's 500 fastest supercomputers, with 81% of the TOP500 and 90% of new systems on the list utilizing NVIDIA technology. The top eight systems on the Green500 run on NVIDIA GPUs, with the No. 1 system, KAIROS, using a single NVIDIA Grace Hopper Superchip to achieve 73.3 gigaflops per watt. NVIDIA's momentum in new deployments is driven by a preference for machines built for AI, simulation, and science, with NVIDIA systems delivering more than 2x the AI training and nearly 3x the AI inference throughput of every other platform combined. This trend has significant implications for engineers building AI systems, as accelerated computing becomes the foundation for systems tackling demanding workloads.

⚡ Key Takeaways

• 81% of the TOP500 supercomputers use NVIDIA technology, with 90% of new systems on the list adopting NVIDIA.
• The top eight systems on the Green500 run on NVIDIA GPUs, with KAIROS achieving 73.3 gigaflops per watt using a single NVIDIA Grace Hopper Superchip.
• NVIDIA's Grace CPU has been adopted by 26 systems, up eight from the previous list, with nearly 2.5 million Grace CPUs shipped.
• The NVIDIA Vera CPU builds on the success of Grace, taking CPU performance and energy efficiency to new levels for demanding AI workloads.
• 376 of the TOP500 systems are interconnected using NVIDIA networking, with the vast majority using NVIDIA Quantum InfiniBand.

The widespread adoption of NVIDIA technologies in the world's fastest supercomputers has significant implications for engineers building AI systems, as it highlights the importance of accelerated computing in tackling demanding workloads. The trend towards NVIDIA-powered systems is likely to continue, driven by the need for high-performance computing and AI capabilities.

✅ Practical Steps

1. Consider utilizing NVIDIA GPUs and networking for high-performance computing and AI workloads.
2. Evaluate the use of NVIDIA's Grace CPU and Vera CPU for demanding AI applications.
3. Explore the use of NVIDIA Quantum InfiniBand for large-scale AI and high-performance computing.

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