Empowering European Researchers: NVIDIA's AI HPC Supercomputers Revolutionize Scientific Discovery
NVIDIA has announced the development of 35 AI HPC supercomputers in Europe, providing advanced infrastructure to over 3 million researchers for AI, scientific discovery, and innovation. These supercomputers are part of Europe's largest one-year expansion of supercomputing capabilities and will be utilized by national supercomputing centers, AI factories, and academic research institutions. The systems are built on NVIDIA AI infrastructure to support research in various fields such as climate science, healthcare, clean energy, quantum computing, and fundamental science.
The NVIDIA Blackwell and NVIDIA Hopper platforms are at the forefront of Europe's AI factory expansion, with 800 AI exaflops deployed or announced in the past year. Leveraging NVIDIA Quantum InfiniBand networking, CUDA-X libraries, NIM microservices, and AI Enterprise software, NVIDIA offers a comprehensive platform for scientific research, covering model training, simulation, inference, and agentic AI workflows. This infrastructure enables researchers to tackle complex systems, train AI models, and develop AI solutions that leverage Europe's data and expertise for global breakthroughs.
Jensen Huang, the founder and CEO of NVIDIA, emphasized the significance of AI in scientific research, stating that Europe is establishing the necessary infrastructure to empower millions of researchers with AI capabilities. By harnessing NVIDIA accelerated computing, researchers can conduct simulations, train AI models, and create AI workflows that drive innovation and discoveries. Supercomputers like Barcelona Supercomputing Center's EuroHPC MareNostrum5 AI upgrade, BavariaAI's Blue Swan, IT4LIA, HLRS's HammerHAI, and NAISS's Mimer EuroHPC AI Factory are among the advanced systems utilizing NVIDIA AI infrastructure.
In conclusion, NVIDIA's expansion of AI HPC supercomputers in Europe is a significant step towards enabling researchers to leverage cutting-edge AI infrastructure for scientific advancements and industrial innovation. The deployment of these systems across various research institutions and AI factories underscores the growing importance of AI in accelerating scientific discovery and driving progress in key areas of research.