NVIDIA Grace Hopper boosts simulation on Jülich’s Jupiter supercomputer to support scientific progress at exascale speed.
NVIDIA announced that the JUPITER supercomputer, powered by the NVIDIA Grace Hopper platform, is currently the fastest in Europe, offering over twice the performance for high-performance computing and AI workloads compared to the next system on the list.
Set to perform 1 quintillion FP64 operations per second, JUPITER is expected to become Europe’s first exascale supercomputer. It supports large-scale simulation, training, and inference of AI models for applications such as climate modeling, quantum research, structural biology, computational engineering, and astrophysics, helping European organizations advance scientific research.
Among the top five systems on the TOP500 list of the world’s fastest supercomputers, JUPITER is the most energy efficient, at 60 gigaflops per watt.
Comprising nearly 24,000 NVIDIA GH200 Grace Hopper Superchips and interconnected with the NVIDIA Quantum-2 InfiniBand networking platform, JUPITER is expected to reach over 90 exaflops of AI performance and is based on Eviden’s BullSequana XH3000 liquid-cooled architecture.
JUPITER also incorporates NVIDIA’s full stack of software for optimized performance.
Built for scientific breakthroughs
Hosted by the Jülich Supercomputing Centre at the Forschungszentrum Jülich facility in Germany, JUPITER is owned by the EuroHPC Joint Undertaking.
Early testing of JUPITER was conducted with the Linpack benchmark, which was also used to determine the TOP500 ranking.
The JUPITER supercomputer represents a new generation of computing systems, uniting NVIDIA’s end-to-end software stack to solve challenges in areas including:
- Climate and weather modeling: Enables high-resolution, real-time environmental simulations and visualization, using the NVIDIA Earth-2 open platform. This contributes to global community initiatives like the Earth Virtualization Engines project, which aims to create a digital twin of the Earth to better understand and address climate change.
- Quantum computing research: Advances quantum algorithm and hardware development with powerful tools such as the NVIDIA CUDA-Q platform and the NVIDIA cuQuantum software development kit.
- Computer-aided engineering: Reinvents product design and manufacturing through AI-driven simulation and digital twin technologies, powered by the NVIDIA PhysicsNeMo framework, NVIDIA CUDA-X libraries and the NVIDIA Omniverse platform.
- Drug discovery: Streamlines the creation and deployment of AI models vital to pharmaceutical research through the NVIDIA BioNeMo platform, accelerating time to insight in biomolecular science and drug discovery.
German and other European researchers can apply for access to JUPITER.
For more information, visit nvidia.com.
