Europe Unveils 35 NVIDIA AI Supercomputers Across 23 Countries With 800 Exaflops of Power

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Europe is building 35 NVIDIA AI supercomputers spanning 23 countries, marking the continent's largest one-year expansion of AI infrastructure. The systems deliver 800 exaflops of AI compute power and will support over 3 million researchers working on climate science, healthcare, clean energy, and quantum computing breakthroughs.

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Europe Launches Largest AI Infrastructure Expansion

Europe AI infrastructure is experiencing its most significant transformation as NVIDIA announces 35 new NVIDIA AI supercomputers under development across 23 countries. This record expansion of AI supercomputing represents the continent's largest one-year buildout of advanced computing systems, designed to equip more than 3 million researchers with next-generation tools for AI-driven scientific discovery

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. The deployment spans national supercomputing centers, AI factories, and academic research institutions, all built on full-stack NVIDIA infrastructure.

The systems will deliver 800 exaflops of AI compute across deployed and announced installations since last year, with NVIDIA's Blackwell and Hopper platforms powering over 90% of the buildout

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. According to Jensen Huang, NVIDIA's founder and CEO, "AI is the new instrument of science, and Europe is building the infrastructure to put it in the hands of millions of researchers." The initiative positions Europe to compete globally in artificial intelligence while maintaining technological autonomy through sovereign computing capabilities.

Major Installations Drive Computing Power

The Barcelona Supercomputing Center's EuroHPC AI Factory leads the charge as the first EuroHPC AI-specific installation, expanding MareNostrum 5 with NVIDIA GB300 NVL72 and GB200 NVL4 systems connected by Quantum-X800 InfiniBand. This system will deliver approximately 20 exaflops of AI training and 33 exaflops of AI inference performance

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. Director Mateo Valero Cortés emphasized that the consortium of Spain, Portugal, and Türkiye will provide European researchers with tools to tackle complex challenges from climate modeling to biomedical discovery.

BavariaAI's Blue Swan platform brings 1,000 GPUs via NVIDIA GB200 NVL4 systems to FAU Erlangen and LRZ supercomputing centers, delivering up to 11 exaflops of AI training and 22 exaflops of AI inference performance

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. Bavarian Minister of Science Markus Blume stated the project will create an innovative, multimodal AI foundation model for health and robotics applications while building Germany's biggest GPU cluster at any university.

NVIDIA-Powered Systems Accelerate Research

IT4LIA marks a strategic advancement with over 8,000 GPUs via NVIDIA GB200 NVL4 systems, delivering 82 exaflops of AI training and 164 exaflops of AI inference performance

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. CINECA's Gabriella Scipione explained the system creates a trusted environment for open AI model development across agritech, cybersecurity, meteorology, climate science, and manufacturing, strengthening Italy's role in the global AI landscape.

HLRS's HammerHAI, Germany's first AI factory, will equip researchers with over 850 GPUs via NVIDIA GB200 NVL4 systems connected with Quantum InfiniBand, delivering approximately 8 exaflops of AI training and 15 exaflops of AI inference performance

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. Director Michael Resch noted this secure, national infrastructure will help accelerate simulation, inference, and scientific discovery.

Full-Stack Platform Enables Innovation

The NVIDIA-powered systems leverage Quantum InfiniBand networking, CUDA-X libraries, NIM microservices, and AI Enterprise software to create a comprehensive platform spanning model training, simulation, inference, and generative AI workflows

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. NAISS's Mimer AI Factory at Linköping University will deploy 100 NVIDIA GB200 NVL4 systems totaling 400 GPUs, delivering up to 4 exaflops of AI training and about 7 exaflops of AI inference performance to advance Sweden's AI science ecosystem across life sciences, materials research, and autonomous systems

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Europe has also shown strong interest in the upcoming Vera Rubin platform, which delivers 7 exaflops of AI and 5 petaflops of native FP64 performance in a single rack

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. The Leibniz Supercomputing Centre and other institutions are developing next-generation supercomputers based on Rubin, with custom high-density configurations packing 144 GPUs per rack expected to operate by 2027. These systems will support research initiatives including NVIDIA's collaboration with Siemens Energy on hydrogen-capable gas turbine burners for clean-energy decarbonization

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. The Barcelona Supercomputing Center, CINECA, Fraunhofer, and Jülich Supercomputing Centre are also using the CUDA-Q platform to integrate quantum processors, extending Europe's leadership in quantum-GPU supercomputing.

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