NVIDIA announced the NVIDIA Vera Rubin platform at ISC High Performance 2026, designed to deliver world-class supercomputers for science by combining native double-precision (FP64) performance, NVIDIA CUDA-X libraries and the full-stack capabilities of the NVIDIA AI platform. The platform is built to unite high-precision simulation, AI and data analytics, specifically targeting the era of agents to advance scientific discovery in fields such as climate modeling, computational fluid dynamics, quantum chemistry and energy exploration.

The Vera Rubin system provides more than 7 exaflops of AI for science, 5 petaflops of native FP64 support and extreme memory bandwidth with up to 144 GPUs per rack. This configuration allows the system to deliver performance on par with the TOP500 list of the world’s most powerful supercomputers, enabling research centers and industrial enterprises to run larger models, improve fidelity and shorten time to discovery.

Platform Architecture

The NVIDIA Vera Rubin platform combines NVIDIA Rubin GPUs and NVIDIA Vera CPUs connected via high-speed NVIDIA NVLink-C2C, NVIDIA ConnectX-9 SuperNICs and NVIDIA BlueField-4 DPUs in a direct liquid-cooled architecture. For scientific computing, the platform provides native FP64 capabilities to accelerate simulations requiring the highest accuracy, alongside the AI performance needed for surrogate models, scientific foundation models and AI-assisted analysis.

Global Adoption and Systems

Leading supercomputing centers are adopting the platform to build next-generation systems. The Leibniz Supercomputing Centre (LRZ) will utilize the platform for its Blue Lion system, scheduled to come online in 2027, delivering approximately 30x the computing power of LRZ’s current system. The National Energy Research Scientific Computing Center will deploy Doudna, a Dell Technologies system powered by NVIDIA Vera Rubin, for large-scale HPC workloads and AI training. Los Alamos National Laboratory has selected NVIDIA Vera Rubin for its Mission, Vision and Veritas systems, with Veritas specifically designed for agents to advance scientific discovery.

Manufacturer Availability

Global system manufacturers including Bull, Dell Technologies, GIGABYTE, HPE and Supermicro are bringing NVIDIA Vera Rubin NVL4 to market through direct liquid-cooled AI and HPC racks. These systems are designed to help research institutions, national labs and enterprises deploy rack-scale accelerated computing. NVIDIA Vera Rubin NVL4-based systems are expected to be available from global system manufacturers in Q4 this year.

NVIDIA 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 across 23 countries. This buildout powers over 90% of Europe’s AI factory initiatives, with 800 AI exaflops deployed or announced since last year.

The NVIDIA Blackwell and NVIDIA Hopper platforms are powering the majority of Europe’s AI factory buildout. NVIDIA provides a full-stack platform for science, spanning model training, simulation, inference and agentic AI, utilizing NVIDIA Quantum InfiniBand networking, NVIDIA CUDA-X libraries, NVIDIA NIM microservices and NVIDIA AI Enterprise software.

"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."

Key Supercomputing Initiatives

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.

Climate and Decarbonization Efforts

NVIDIA is supporting initiatives to accelerate AI-driven climate science, healthcare and clean-energy decarbonization. Siemens Energy is using the Siemens Xcelerator portfolio, accelerated by NVIDIA technologies including NVIDIA Omniverse libraries, CUDA-X and AI infrastructure, to unify design and simulation for gas turbines built to run on up to 100% hydrogen. This workflow cuts simulation times by up to 77% to advance hydrogen-capable, low-carbon gas turbines.

Quantum-GPU Supercomputing Advances

The Barcelona Supercomputing Center, CINECA, Fraunhofer and Jülich Supercomputing Centre are the latest institutes to use the CUDA-Q platform to integrate quantum processors. Researchers at the Jülich Supercomputing Centre, working with NVIDIA, set a world record by fully simulating a universal 50-qubit quantum computer on JUPITER, powered by NVIDIA GH200 Grace Hopper Superchips.