Expanded Access to Next-Generation NVIDIA AI Infrastructure Equips Millions of Researchers to Advance AI HPC and Scientific Discovery
News Summary:
ISC High Performance 2026 -- NVIDIA today announced that a record 35 NVIDIA AI HPC supercomputers are in development across Europe — equipping more than 3 million researchers with next-generation infrastructure for continental AI, accelerated science and industrial innovation.
The systems represent Europe’s largest one-year expansion of supercomputers, spanning national supercomputing centers, AI factories and academic research institutions. Built on full-stack NVIDIA AI infrastructure, the systems will support research across climate science, healthcare, clean-energy decarbonization, quantum computing and fundamental science.
The NVIDIA Blackwell and NVIDIA Hopper™ platforms are powering the majority of Europe’s AI factory buildout, with 800 AI exaflops deployed or announced since last year. With NVIDIA Quantum InfiniBand networking, NVIDIA CUDA-X™ libraries, NVIDIA NIM™ microservices and NVIDIA AI Enterprise software, NVIDIA provides a full-stack platform for science, spanning model training, simulation, inference and agentic AI.
“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.”
Supercomputers including 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 those based on advanced NVIDIA AI infrastructure.
“BSC is committed to building AI infrastructure that advances science, industry and society,” said Mateo Valero Cortés, director of the Barcelona Supercomputing Center. “With the upgrade to MareNostrum5 and NVIDIA accelerated computing, the consortium composed of Spain, Portugal and Türkiye will make available to European researchers the tools to tackle some of the world’s most complex challenges, from climate modeling to biomedical discovery.”
“With the project ‘Blue Swan Platform,’ Bavaria is working on an innovative and independent, multimodal AI foundation model for important application areas like health and robotics,” said Bavarian Minister of Science Markus Blume. “This will allow us to provide a powerful AI tool for science and industry that fully meets European standards. For this ambitious goal, we are currently building a special computing infrastructure at Friedrich-Alexander University in Erlangen — the biggest GPU cluster you can find at any German university.”
“IT4LIA marks a strategic step in strengthening Europe’s AI and HPC ecosystem, providing a high-performance infrastructure to the research and innovation ecosystem,” said Gabriella Scipione, high-performance computing director of CINECA. “Through advanced accelerated computing, EuroHPC with CINECA, the Italian Ministry of University and Research, and the Italian Cybersecurity Agency are creating a trusted environment for open AI model development and applications across agritech, cybersecurity, meteorology, climate and manufacturing, strengthening Europe’s technological autonomy and reinforcing Italy’s role in the global AI landscape.”
“Germany has long been a leader in engineering, science and industrial innovation,” said Michael Resch, director of the High-Performance Computing Center Stuttgart. “With HammerHAI, Germany’s first AI factory, we are building on that foundation with secure, national AI infrastructure that will help researchers and industrial users accelerate simulation, inference and scientific discovery, strengthening Europe’s ability to turn advanced computing into real-world breakthroughs.”
Europe’s latest AI infrastructure expansion includes advancements at:
AI for Climate and Decarbonization
NVIDIA is supporting initiatives that deploy AI infrastructure and software to help researchers apply AI to scientific challenges including climate and Earth systems modeling, biomedical research, and clean-energy technologies such as fusion, hydrogen and carbon capture.
Accelerated simulation and industrial engineering are already enabling breakthroughs in clean-energy research.
Siemens Energy is using the Siemens Xcelerator portfolio, accelerated by NVIDIA technologies, including NVIDIA Omniverse™ libraries, CUDA-X and AI infrastructure, to unify design, computational fluid dynamics simulation and manufacturing for gas turbines built to run on up to 100% hydrogen — a complex physics challenge involving extreme heat, fluid dynamics and combustion behavior.
The workflow supports rapid, simulation-driven design iterations for complex gas turbine burner configurations, followed by fast technology validation using additively manufactured combustors. This cuts simulation times by up to 77% to advance hydrogen-capable, low‑carbon gas turbines.
Quantum-GPU Supercomputing Advances in Europe
NVIDIA is enabling European supercomputing centers and institutions to develop and run useful hybrid quantum-classical applications using NVIDIA CUDA-Q™, an open, qubit-agnostic platform for hybrid computing, extending Europe’s leadership in quantum-GPU supercomputing.
CINECA, EuroHPC and Pasqal are integrating a neutral-atom QPU at the CINECA supercomputing center. The Pasqal hybrid environment is deploying the CUDA-Q platform through integration with Slurm. CUDA-Q provides Pasqal and CINECA with a platform for developing and running quantum applications including for optimization and materials science use cases.
Fraunhofer FOKUS is facilitating the integration of NVIDIA CUDA-Q with the quantum programming language Eclipse Qrisp. Qrisp, initiated at Fraunhofer FOKUS and being further developed by the Eclipse Foundation, enables researchers to more easily write complex quantum algorithms which can then be simulated, optimized and run with NVIDIA CUDA-Q.
The Barcelona Supercomputing Center has recently deployed a new analog quantum computer from QPU builder Qilimanjaro Quantum Tech, through the EuroHPC JU initiative. Qilimanjaro integrated NVIDIA CUDA-Q into its quantum software development kit, QiliSDK. Qilimanjaro is also working toward making its QPU available in the NVIDIA CUDA-Q platform for seamless control of quantum accelerated workflows at BSC.
Researchers at the Jülich Supercomputing Centre, working with a team from NVIDIA, set a world record by fully simulating a universal 50-qubit quantum computer. The simulation was run on JUPITER, powered by its NVIDIA GH200 Grace Hopper Superchips. Jülich’s JUQCS-50 (for 50 qubits) quantum simulator allows researchers to now test the largest possible quantum problems on supercomputers, to scale quantum computing.
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