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Europe is expanding its AI and high-performance computing (HPC) capacity, with NVIDIA announcing that 35 new AI supercomputers are currently under development across the continent. The systems, unveiled at ISC High Performance 2026, will provide next-generation computing infrastructure for more than three million researchers working in fields ranging from climate science and healthcare to quantum computing and industrial innovation.
The announcement marks what NVIDIA describes as Europe’s largest single-year expansion of supercomputing resources, spanning 23 countries and involving national supercomputing centers, AI factories and leading research institutions.
For eeNews Europe readers, the development highlights the growing role of advanced computing infrastructure in strengthening Europe’s technological sovereignty and accelerating innovation in strategic sectors. It also underscores how AI and HPC are becoming critical tools for industrial engineering, energy transition projects and scientific research.
According to NVIDIA, more than 90% of Europe’s AI factory buildout is based on its technology stack, with around 800 AI exaflops either deployed or announced since last year. The new systems will rely largely on NVIDIA’s Blackwell and Hopper platforms, alongside Quantum InfiniBand networking, CUDA-X libraries and AI software tools.
“AI is the new instrument of science, and Europe is building the infrastructure to put it in the hands of millions of researchers,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA accelerated computing, researchers can simulate more complex systems, train scientific AI models and build agentic AI workflows that turn Europe’s data and expertise into breakthroughs for the world.”
Among the flagship projects are the Barcelona Supercomputing Center’s upgraded MareNostrum5 AI system, BavariaAI’s Blue Swan platform in Germany, Italy’s IT4LIA AI factory, Stuttgart’s HammerHAI system and Sweden’s Mimer AI Factory.
The Barcelona Supercomputing Center’s AI Factory will expand MareNostrum5 with NVIDIA GB300 and GB200 systems, delivering up to 20 exaflops of AI training performance and 33 exaflops of AI inference capability. Meanwhile, Italy’s IT4LIA project is expected to provide more than 82 exaflops of AI training performance using over 8,000 GPUs.
Beyond raw computing power, NVIDIA highlighted several scientific and industrial applications enabled by the new infrastructure. One example is a collaboration with Siemens Energy, which is using NVIDIA-accelerated simulation tools to develop gas turbine burners capable of running on up to 100% hydrogen.
According to NVIDIA, the workflow reduces simulation times by as much as 77%, helping speed the development of lower-carbon energy systems.
The company also emphasized Europe’s growing leadership in hybrid quantum-classical computing. Organizations including CINECA, the Barcelona Supercomputing Center, Fraunhofer FOKUS and the Jülich Supercomputing Centre are integrating NVIDIA’s CUDA-Q platform with quantum processors to develop applications in optimization, materials science and large-scale quantum simulation.
Researchers at Jülich recently achieved a world record by fully simulating a universal 50-qubit quantum computer on the JUPITER supercomputer, demonstrating how AI and quantum technologies are increasingly converging within Europe’s next-generation research infrastructure.
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