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Europe Unveils a Record 35 New NVIDIA AI Supercomputers

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NVIDIA (NASDAQ:NVDA) announced a record 35 AI HPC supercomputers being built across Europe, expanding next-generation AI infrastructure to over 3 million researchers in 23 countries.

The systems, delivering around 800 AI exaflops, use Blackwell and Hopper platforms, support climate, healthcare and clean energy research, and extend Europe’s quantum‑GPU and CUDA‑Q leadership.

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Positive

  • Record 35 NVIDIA AI HPC supercomputers in development across Europe
  • Around 800 AI exaflops deployed or announced for European AI factories
  • Over 3 million researchers gaining access to NVIDIA-powered AI infrastructure
  • Large GPU deployments, including IT4LIA’s 8,000+ GPUs and HammerHAI’s 850+ GPUs
  • Siemens Energy cutting gas turbine simulation times by up to 77% with NVIDIA technologies
  • Broader adoption of NVIDIA CUDA-Q across major European quantum-GPU research centers

Negative

  • None.

News Market Reaction – NVDA

-0.97%
-0.97% Session close to close

In the Jun 22 session, NVDA declined 0.97%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement extends NVIDIA’s AI footprint with 35 new European supercomputers and roughly 800 ...
Analysis

This announcement extends NVIDIA’s AI footprint with 35 new European supercomputers and roughly 800 AI exaflops of capacity. Investors may weigh this demand backdrop against recent large debt issuance and notable insider net selling when assessing durability.

Key Figures

New AI supercomputers: 35 systems Researchers supported: over 3 million researchers Europe AI factory share: over 90% +5 more
8 metrics
New AI supercomputers 35 systems NVIDIA AI HPC supercomputers in development across Europe
Researchers supported over 3 million researchers Researchers to be equipped by the new European systems
Europe AI factory share over 90% Portion of Europe’s AI factory buildout powered by NVIDIA AI infrastructure
AI performance capacity 800 AI exaflops AI performance deployed or announced in Europe since last year
MareNostrum5 training approximately 20 exaflops AI training performance for BSC’s MareNostrum5 AI upgrade
Blue Swan GPUs 1,000 GPUs NVIDIA GB200 NVL4 systems at FAU Erlangen and LRZ
IT4LIA GPUs over 8,000 GPUs GB200 NVL4 systems in the IT4LIA AI factory
Hydrogen-capable turbines up to 100% hydrogen Hydrogen mix targeted for Siemens Energy gas turbine burners

Previous AI Reports

5 past events · Latest: Jun 11 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 11 AI infra financing Positive +2.2% Launch of Helix Digital Infrastructure with NVIDIA as a founding participant.
Jun 07 AI cloud buildout Positive +1.6% Plans for gigawatt-scale AI cloud in Korea using NVIDIA DSX architecture.
Jun 01 AI in fabs Positive +6.3% TSMC deploying NVIDIA AI to enhance semiconductor design and manufacturing.
Jun 01 Healthcare AI rollout Positive +6.3% Agentic and physical AI deployment in Taiwan’s healthcare system with NVIDIA.
Jun 01 AI tools release Positive +6.3% Release of open source physical AI agent tools via NVIDIA Agent Toolkit.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent AI-tagged announcements for NVIDIA have generally coincided with positive share-price reactions, suggesting investors often reward large AI infrastructure and deployment news.

Key Terms

exaflops, infiniBand, qpu, additively manufactured, +1 more
5 terms
exaflops technical
"Delivering up to approximately 20 exaflops of AI training and 33 exaflops"
An exaflop is a measure of computing speed equal to one quintillion (10^18) floating‑point operations per second, effectively describing how many tiny math calculations a computer can perform each second. For investors, exaflop capacity signals the ability to run very large simulations, advanced artificial intelligence models, and data‑heavy workloads faster and at scale—similar to comparing how many cars a highway can move per hour—which can affect demand, pricing, and competitive position in cloud, chip, and data‑center markets.
infiniBand technical
"with NVIDIA Quantum InfiniBand networking, NVIDIA CUDA-X libraries, NVIDIA NIM"
Infiniband is a high-speed data transport technology used inside data centers to move large amounts of information quickly and with very little delay, often used for servers, storage and computing clusters. Investors should care because it acts like a multilane expressway for data—companies that build, use or support such fast networks can gain competitive advantages in cloud services, high-performance computing and AI workloads, which can affect costs and revenue potential.
qpu technical
"CINECA, EuroHPC and Pasqal are integrating a neutral-atom QPU at the CINECA"
A QPU, or quantum processing unit, is a type of computer chip designed to perform calculations using quantum bits (qubits) instead of regular bits, letting it handle certain complex problems much faster than ordinary processors. For investors, QPUs matter because they are the core technology behind quantum computing products and services; progress or setbacks in QPU performance, scalability, or cost can strongly affect a company’s ability to commercialize quantum applications and capture future markets—think of it as the engine that determines whether a new kind of car can actually be built and sold.
additively manufactured technical
"validation using additively manufactured combustors. This cuts simulation times"
Additively manufactured describes products made by building up material layer by layer, like constructing an object from stacked sheets or LEGO bricks rather than carving it out of a block. For investors, this method can cut tooling costs, speed prototyping, enable complex designs and on-demand production, and change supply-chain and quality risks—factors that affect a company’s costs, margins, time to market and competitive position.
quantum simulator technical
"Jülich’s JUQCS-50 (for 50 qubits) quantum simulator allows researchers"
A quantum simulator is a specialized device or software that copies the behavior of a complex quantum system so researchers can test ideas and predict outcomes without building the real thing. Think of it as a wind tunnel for quantum phenomena: it lets scientists explore new materials, chemicals, or algorithms more quickly and cheaply, which matters to investors because successful simulations can shorten development time, lower technical risk, and reveal commercially valuable breakthroughs before large capital outlays.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Expanded Access to Next-Generation NVIDIA AI Infrastructure Equips Millions of Researchers to Advance AI HPC and Scientific Discovery

News Summary:

  • Barcelona Supercomputing Center’s EuroHPC AI Factory, BavariaAI’s Blue Swan, IT4LIA, HLRS’s HammerHAI, NAISS’s Mimer EuroHPC AI Factory and more are building on next-generation NVIDIA AI infrastructure across 23 countries, accelerating the work of over 3 million researchers.
  • NVIDIA AI infrastructure is powering over 90% of Europe’s AI factory buildout with 800 AI exaflops deployed or announced since last year.
  • NVIDIA is supporting initiatives to accelerate AI-driven climate science, healthcare and clean-energy decarbonization, including work with Siemens Energy on hydrogen-capable gas turbine burners.
  • Barcelona Supercomputing Center, CINECA, Fraunhofer and Jülich Supercomputing Centre are the latest institutes to use the CUDA-Q platform to integrate quantum processors, extending Europe’s leadership in quantum-GPU supercomputing.

HAMBURG, Germany, June 22, 2026 (GLOBE NEWSWIRE) -- 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:

  • Barcelona Supercomputing Center’s AI Factory, the first EuroHPC AI-specific installation: Will expand MareNostrum 5 with NVIDIA GB300 NVL72 and NVIDIA GB200 NVL4 systems, connected by the NVIDIA Quantum-X800 InfiniBand platform. Delivering up to approximately 20 exaflops of AI training and 33 exaflops of AI inference performance, the system will accelerate generative AI, climate modeling, health and biotech research, sustainable agriculture, energy systems and government AI services.
  • BavariaAI’s Blue Swan: Brings 1,000 GPUs via NVIDIA GB200 NVL4 systems and NVIDIA Quantum-2 InfiniBand networking to FAU Erlangen and LRZ supercomputing centers. Delivering up to 11 exaflops of AI training and 22 exaflops of AI inference performance, the platform will support Bavaria’s foundation model initiative, advancing open multimodal models for science, public administration, health research, robotics and perception.
  • IT4LIA: An AI factory with over 8,000 GPUs via NVIDIA GB200 NVL4 systems, NVIDIA Quantum-X800 InfiniBand networking and NVIDIA AI Enterprise software, delivering 82 exaflops of AI training and 164 exaflops of AI inference performance.
  • HLRS’s HammerHAI: Will equip Germany’s first AI factory with over 850 GPUs via NVIDIA GB200 NVL4 systems connected with NVIDIA Quantum-X800 InfiniBand. Delivering up to approximately 8 exaflops of AI training and 15 exaflops of AI inference performance, HammerHAI will give researchers and industrial users secure AI infrastructure for engineering simulation, large language model inference and scientific discovery.
  • NAISS’s Mimer AI Factory, owned by the EuroHPC Joint Undertaking: Hosted at Linköping University, this supercomputer will deploy 100 NVIDIA GB200 NVL4 systems, totaling 400 GPUs, with NVIDIA ConnectX®-8 networking. Delivering up to 4 exaflops of AI training and about 7 exaflops of AI inference performance, Mimer AI Factory will advance Sweden’s AI science ecosystem across life sciences, materials research, autonomous systems, trustworthy AI and data-driven innovation.

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.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Lexi Mariash
Corporate Communications
NVIDIA Corporation
press@nvidia.com

Certain statements in this press release including, but not limited to, statements as to: AI being the new instrument of science; Europe building the infrastructure to put it in the hands of millions of researchers; with NVIDIA accelerated computing, researchers simulating more complex systems, training scientific AI models and building agentic AI workflows that turn Europe’s data and expertise into breakthroughs for the world; expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing product and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, ConnectX, CUDA-Q, CUDA-X, NVIDIA Hopper, NVIDIA NIM and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at:
https://www.globenewswire.com/NewsRoom/AttachmentNg/26040e64-2fcf-4158-b423-ece1163e217b


FAQ

What did NVIDIA (NVDA) announce about 35 new AI supercomputers in Europe on June 22, 2026?

NVIDIA announced 35 new AI HPC supercomputers in development across Europe, expanding next-generation AI infrastructure for research. According to NVIDIA, these systems support over 3 million researchers across 23 countries, focusing on AI, climate science, healthcare, clean energy and industrial innovation.

How much AI computing power will NVIDIA’s new European supercomputers provide for NVDA-driven research?

NVIDIA expects its European AI supercomputers to deliver about 800 AI exaflops of computing power. According to NVIDIA, this capacity spans AI training, inference and simulation, powering national supercomputing centers, AI factories and academic institutions across climate, biomedical, energy and fundamental science research.

Which major European AI factories are using NVIDIA (NVDA) GB200 and Blackwell platforms?

Key European AI factories using NVIDIA platforms include MareNostrum5 AI Factory, BavariaAI’s Blue Swan, IT4LIA, HammerHAI and NAISS’s Mimer. According to NVIDIA, these systems use GB200 NVL4 and related platforms to deliver multi-exaflop AI training and inference performance for diverse scientific workloads.

How is NVIDIA (NVDA) supporting climate and clean-energy research with its European AI infrastructure?

NVIDIA is providing AI infrastructure and software to help apply AI to climate, Earth systems and clean-energy research. According to NVIDIA, Siemens Energy uses its technologies to design hydrogen-capable gas turbines, cutting simulation times by up to 77% for low‑carbon turbine development workflows.

What role does NVIDIA CUDA-Q play in Europe’s quantum-GPU supercomputing projects for NVDA?

CUDA-Q provides a hybrid quantum-classical computing platform for European supercomputing centers using NVIDIA hardware. According to NVIDIA, CINECA, Fraunhofer, Jülich and Barcelona Supercomputing Center integrate CUDA-Q to develop optimization, materials science and quantum algorithm research across large GPU-powered systems.

How are specific European systems like IT4LIA and HammerHAI leveraging NVIDIA (NVDA) GPUs?

IT4LIA uses over 8,000 NVIDIA GB200 NVL4 GPUs, while HammerHAI uses more than 850 GPUs. According to NVIDIA, IT4LIA delivers 82 AI training exaflops and 164 inference exaflops, while HammerHAI targets secure national AI infrastructure for engineering and scientific workloads.

What milestone did Jülich Supercomputing Centre achieve using NVIDIA (NVDA) technology?

Jülich Supercomputing Centre simulated a universal 50-qubit quantum computer using NVIDIA GH200 Grace Hopper Superchips. According to NVIDIA, the JUQCS-50 simulator lets researchers test the largest possible quantum problems on supercomputers, advancing quantum computing research with NVDA-powered infrastructure.