NVIDIA Floods Europe With 35 Supercomputers Spanning 23 Countries, Stacking Up To 800 Exaflops Of AI Compute

Hassan Mujtaba
A digital rendering shows a map of Europe overlaid on a close-up of a semiconductor chip.

NVIDIA's AI prowess is being deployed across Europe with 35 brand new supercomputers offering 800 Exaflops of compute.

Europe Is Building 35 All-NVIDIA AI supercomputers, including Hopper, Blackwell & Rubin Deployments That Scale Up To 800 Exaflops

European nations are going into a supercomputer-frenzy, and the main driver behind them is NVIDIA's latest AI ecosystem, delivering up to 800 Exaflops of deployed & announced capacities that will deliver record levels of AI compute.

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Today, at ISC 2026, NVIDIA and its partners unveiled this multi-year collaboration, which will encompass several deployments across 23 countries. With these supercomputers, Europe is aiming to accelerate the work of over 3 million researchers. The major names behind these deployments include Barcelona Supercomputing Center’s EuroHPC AI Factory, BavariaAI’s Blue Swan, IT4LIA, HLRS’s HammerHAI, NAISS’s Mimer EuroHPC AI Factory, and more.

The systems will span national supercomputing centers, AI factories, and academic research, harnessing NVIDIA's Quantum InfiniBand Networking, NVIDIA CUDA-X and CUDA-Q libraries, NVIDIA NIM microservices, NVIDIA AI Enterprise Software, and the full-stack platform NVIDIA is known to offer within its AI ecosystem. Blackwell and Hopper will power the majority of these upcoming deployments, but Europe has also shown great interest in the upcoming Vera Rubin platform.

Some highlights include:

  • 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, is 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.

The Jupiter supercomputer is one of the several deployments, marking the first exascale supercomputer for Europe. Deployed at Germany’s Forschungszentrum Jülich, the system features the ability to map the entire human brain at a cellular scale and can also simulate the climate of the entire planet at 1km resolution. It also accelerates the development of next-generation wireless networks (5G & 6G) & can simulate a universal 50-qubit quantum computer.

As mentioned above, Vera Rubin is also being deployed across global IT and AI research centers. Vera Rubin delivers 7 Exaflops of AI and 5 PFlops of native FP64 performance, delivering Top500 supercomputer performance in a single rack.

These systems are already in mass production, and the Leibniz Supercomputing Centre, the National Energy Research Scientific Computing Center, and Los Alamos National Laboratory are developing next-generation supercomputers based on Rubin to advance open science, energy exploration, earth sciences, and national security.

NVIDIA and its partners are also working on custom high-density Vera Rubin supercomputers, packing 144 GPUs per rack. With these, the Blue Lion installation is able to offer 30x higher compute power versus the existing deployment, and is primed for operation by 2027. Entry-level deployments based on NVL4, which house Intel Xeon CPUs, are also rolling out from  Bull, Dell Technologies, GIGABYTE, HPE, and Supermicro, and are designed to help research institutions, national labs, and enterprises deploy rack-scale accelerated computing.

Europe is stepping boldly into the AI era with a landmark initiative: 35 all-NVIDIA supercomputers spanning 23 countries, delivering a staggering 800 Exaflops of AI compute. Powered by Hopper, Blackwell, and the upcoming Rubin platforms, along with NVIDIA’s full-stack ecosystem, these systems will empower over 3 million researchers to tackle humanity’s greatest challenges in climate science, healthcare, energy, materials discovery, and beyond.

From Spain’s pioneering EuroHPC AI Factory to Germany’s HammerHAI and Sweden’s Mimer, this continent-wide deployment marks a new chapter of scientific acceleration and technological sovereignty. With systems already in production and next-generation Rubin installations on the horizon, Europe is not just catching up; it is building the infrastructure for a smarter, more innovative future. The AI revolution in Europe has officially begun.

Hassan Mujtaba Photo

About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.

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