NVIDIA announced at ISC High Performance 2026 that 35 NVIDIA AI HPC supercomputers are in development across Europe, spanning national research centres, AI factories and academic institutions in 23 countries. The company said the systems will support more than 3 million researchers working across AI, high-performance computing, climate science, healthcare, clean energy and quantum research.
Europe’s latest supercomputing expansion is being framed around research access, industrial innovation and scientific AI. The announcement places NVIDIA’s accelerated computing platforms inside a wider European buildout of AI factories, national supercomputing systems and hybrid quantum-classical research infrastructure.
Europe Expands AI Supercomputing Capacity
Europe is preparing a major increase in AI and high-performance computing capacity, with 35 systems now in development using NVIDIA infrastructure. The announcement was made at ISC High Performance 2026, a major international conference for supercomputing and scientific computing.
The systems cover national supercomputing centres, EuroHPC AI factories and academic research institutions. According to NVIDIA, the buildout is intended to give more than 3 million researchers access to infrastructure for model training, scientific simulation, inference and industrial AI workflows.
Additionally, the announcement reflects a broader shift in research infrastructure. Large-scale AI systems are increasingly being used to support climate modelling, biomedical discovery, materials research, energy systems and government AI services.
Record Supercomputer Development Across Europe
Company figures describe the programme as Europe’s largest one-year expansion of supercomputers. The 35 systems span 23 countries and include projects connected to Barcelona Supercomputing Center, BavariaAI, CINECA, HLRS and NAISS.
The named systems include Barcelona Supercomputing Center’s EuroHPC MareNostrum5 AI upgrade, BavariaAI’s Blue Swan, IT4LIA, HLRS’s HammerHAI and NAISS’s Mimer EuroHPC AI Factory. Each project adds capacity to a specific national or regional research environment while contributing to a wider continental AI infrastructure network.
This will provide wider institutional access to advanced computing. However, the announcement also shows how AI infrastructure is becoming a strategic layer for research, industrial development and public-sector technology.
NVIDIA Infrastructure Powers AI Factories
NVIDIA said its Blackwell and Hopper platforms are powering the majority of Europe’s AI factory buildout. The company also said 800 AI exaflops have been deployed or announced since last year across European AI infrastructure projects.
The infrastructure includes NVIDIA Quantum InfiniBand networking, CUDA-X libraries, NIM microservices and NVIDIA AI Enterprise software. Together, those systems are designed to support training, simulation, inference and agentic AI workflows across scientific and industrial settings.
Meanwhile, the announcement points to a full-stack approach rather than a hardware-only expansion. The practical effect is that research centres receive computing, networking and software layers intended to support large-scale AI development from a single infrastructure stack.
Systems And Performance Figures
| Indicator | Recent Movement | Context |
|---|---|---|
| European AI HPC systems | 35 systems in development | NVIDIA announced the systems at ISC High Performance 2026 and said they span 23 countries. |
| Research access | More than 3 million researchers | NVIDIA said the infrastructure is intended to support researchers across AI, HPC, climate science, healthcare, clean energy and quantum computing. |
| AI factory buildout | 800 AI exaflops deployed or announced | Company figures state that NVIDIA Blackwell and Hopper platforms are powering the majority of Europe’s AI factory expansion. |
| IT4LIA | 82 AI training exaflops and 164 AI inference exaflops | NVIDIA said CINECA’s AI factory will use more than 8,000 GPUs for open AI model development and applied research. |
| BavariaAI Blue Swan | Up to 11 AI training exaflops and 22 AI inference exaflops | NVIDIA said the platform will support Bavaria’s multimodal foundation model initiative for science, public administration, health research and robotics. |
Scientific Research And Industrial Uses
The new systems are intended to support research across climate science, healthcare, clean-energy decarbonization, quantum computing and fundamental science. NVIDIA’s announcement links the infrastructure to AI-driven discovery rather than consumer-facing AI services.
Several use cases are directly tied to high-performance simulation and scientific modelling. These include climate and Earth systems modelling, biomedical research, agritech, cybersecurity, meteorology, manufacturing and materials research.
Additionally, industrial users are included in the buildout. HLRS’s HammerHAI, for example, is described as secure AI infrastructure for engineering simulation, large language model inference and scientific discovery.
Climate And Decarbonization Applications
NVIDIA highlighted climate and clean-energy applications as part of the wider infrastructure announcement. The company said its AI software and infrastructure are being used in work connected to Earth systems modelling, biomedical research, fusion, hydrogen and carbon capture.
Siemens Energy was named as an industrial example. According to NVIDIA, Siemens Energy is using the Siemens Xcelerator portfolio, accelerated by NVIDIA technologies, to connect design, computational fluid dynamics simulation and manufacturing for gas turbines designed to run on up to 100% hydrogen.
The stated effect is shorter simulation time for complex turbine burner configurations. NVIDIA said the workflow can cut simulation times by up to 77%, allowing faster validation of hydrogen-capable, low-carbon gas turbine designs.
Quantum-GPU Computing Advances
Quantum-GPU computing is another major strand of the announcement. NVIDIA said European supercomputing centres and institutions are using CUDA-Q, its open platform for hybrid quantum-classical computing, to develop and run quantum applications with GPU-accelerated systems.
The projects involve CINECA, EuroHPC, Pasqal, Fraunhofer FOKUS, Barcelona Supercomputing Center, Qilimanjaro Quantum Tech and Jülich Supercomputing Centre. The common theme is integration between quantum processors, quantum software and conventional supercomputing environments.
Additionally, Jülich Supercomputing Centre was named in connection with a 50-qubit quantum simulation. NVIDIA said Jülich researchers, working with an NVIDIA team, fully simulated a universal 50-qubit quantum computer on JUPITER using NVIDIA GH200 Grace Hopper Superchips.
Hybrid Quantum-Classical Projects
- CINECA and Pasqal: NVIDIA said CINECA, EuroHPC and Pasqal are integrating a neutral-atom quantum processing unit at CINECA, with CUDA-Q deployed through Slurm.
- Fraunhofer FOKUS: NVIDIA said Fraunhofer FOKUS is helping integrate CUDA-Q with Eclipse Qrisp, a quantum programming language initiated at Fraunhofer FOKUS.
- Barcelona Supercomputing Center: NVIDIA said BSC has deployed an analog quantum computer from Qilimanjaro Quantum Tech through the EuroHPC JU initiative.
- Jülich Supercomputing Centre: NVIDIA said the JUQCS-50 simulator allows researchers to test large quantum problems on supercomputers.
European Research Leaders Respond
Jensen Huang, NVIDIA’s founder and CEO, said AI is becoming a new instrument of science. He said Europe is building infrastructure to place that capability in the hands of millions of researchers.
Barcelona Supercomputing Center director Mateo Valero Cortés said the MareNostrum5 upgrade will help researchers address complex challenges, including climate modelling and biomedical discovery. His comments positioned the Spanish-led project as research infrastructure for science, industry and society.
Meanwhile, CINECA high-performance computing director Gabriella Scipione said IT4LIA will strengthen Europe’s AI and HPC ecosystem. She said the infrastructure will support open AI model development in areas including agritech, cybersecurity, meteorology, climate and manufacturing.
Stakeholder Comments
Bavarian Minister of Science Markus Blume said Bavaria’s Blue Swan Platform is intended to support an independent, multimodal AI foundation model. He linked the project to health, robotics, science and industry, while NVIDIA said the system will bring 1,000 GPUs to FAU Erlangen and LRZ supercomputing centres.
Michael Resch, director of the High-Performance Computing Center Stuttgart, said HammerHAI will build on Germany’s engineering, science and industrial base. The system is described as Germany’s first AI factory and is intended to support secure national AI infrastructure.
Together, the comments show institutional support from NVIDIA and European research leaders. However, the article’s central verifiable point remains the announced scale: 35 systems, 23 countries, more than 3 million researchers and 800 AI exaflops deployed or announced since last year.
NVIDIA’s announcement marks a significant expansion of AI and high-performance computing infrastructure across Europe. The stated scale is large, but the announcement’s practical importance rests on researcher access, scientific workloads and industrial applications.
The systems are being presented as long-term research infrastructure rather than a single technology launch. Their impact will depend on how European institutions use the capacity across science, industry, public services and quantum-GPU computing.
Sources: NVIDIA Press Release, NVIDIA Newsroom, NVIDIA ISC High Performance.
Prepared by Ivan Alexander Golden, Founder of THX News, an independent news organization delivering timely insights from global official sources. Research combines AI-assisted analysis with human-edited accuracy and context.
