Europe’s AI Booster: JUPITER AI Factory Brings Exascale Power to Business and Science

12 March 2025

With the JUPITER AI Factory, a central pillar of Europe’s AI infrastructure is being established in Jülich. Start-ups, small and medium-sized enterprises, and industrial companies will have access to Europe’s first Exascale-class supercomputer JUPITER. The AI Factory is also open to research institutions and the public sector. Thanks to the computing power of JUPITER, which will go into operation at Forschungszentrum Jülich in the coming months, AI applications can be developed, tested, improved and scaled faster than ever before. In addition, JUPITER will also receive a specialized inference module that accelerates access to AI models via the cloud.

Graphic representation of the Jülich supercomputer JUPITER
Forschungszentrum Jülich

The AI Factory in Jülich serves as a one-stop shop for both research and industry, offering simplified access to JUPITER, Europe’s first Exascale supercomputer. The focus is on strategic key sectors, including healthcare, energy, climate change, education, media, the public sector and finance.

As the first supercomputer of the Exascale era in Europe, JUPITER will surpass the threshold of one quintillion computing operations per second, making it one of the world’s most powerful AI supercomputers. The JUPITER AI Factory is designed to drive the training of next-generation AI models and will particularly support German and European start-ups and small and medium-sized enterprises in developing high-performance, secure, and privacy-compliant AI applications.

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We are very pleased to have been awarded the JUPITER AI Factory. With this decision, Forschungszentrum Jülich is playing a key role in the development of the European AI infrastructure, which will benefit not only science but also business, start-ups, SMEs and industry for socially highly relevant applications.

Prof. Astrid Lambrecht, Chair of the Board of Directors at Forschungszentrum Jülich

Strong Partners for AI

The JUPITER AI Factory (short: "JAIF") is funded with approximately €55 million by the EuroHPC Joint Undertaking, the German Federal Ministry of Education and Research, and the Ministries of Science of North Rhine-Westphalia and Hesse. Several leading German AI institutions have joined forces for this collaborative project.

Alongside the Jülich Supercomputing Centre, which coordinates the initiative, main partners include the Center for Artificial Intelligence at RWTH Aachen University, the Fraunhofer Institutes for Applied Information Technology and for Intelligent Analysis and Information Systems, and the Hessian Center for Artificial Intelligence. Furthermore, the JUPITER AI Factory collaborates closely with the German AI service centers WestAI and hessian.AISC, as well as the KI Bundesverband as associated partners.

In addition to access options for JUPITER, the AI Factory offers a comprehensive AI ecosystem that provides individual support for all AI use cases – from user training and personal consulting to cutting-edge services in data curation, next-generation foundation models, and AI application optimization.

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With the JUPITER AI Factory, we are creating a powerful platform for AI that is leading the way for the European supercomputing infrastructure. The close integration of JUPITER and JARVIS enables the development of next-generation AI models for complex logical tasks, as required for future multimodal and reasoning-based AI systems.

Prof. Thomas Lippert, Director of Jülich Supercomputing Centre

New Inference Module: JARVIS

As an extension of JUPITER, the construction of another supercomputer module is planned in Jülich as part of the AI Factory: The JUPITER inference system JARVIS (JUPITER Advanced Research Vehicle for Inference Services), a cloud-based AI inference platform integrating experimental European technologies. JARVIS thus complements JUPITER's other two modules, Booster and Cluster.

While the JUPITER Booster module with its approximately 24,000 NVIDIA GPUs is responsible for the intensive training of AI models—processing vast datasets and optimizing neural network weights— JARVIS takes over the subsequent inference, i.e., the application, for example for text generation, image analysis or complex calculations, as well as the further optimization of the models, the so-called refinement learning.

JARVIS will support cutting-edge inference techniques such as Inference Time-Scaling. These methods allow AI models to allocate more computational resources for complex problem-solving, improving decision-making by weighing multiple solution strategies to determine optimal outcomes.

The JUPITER AI Factory consists of a strong consortium. The main partners Forschungszentrum Jülich, RWTH Aachen University, the Fraunhofer Institutes IAIS and FIT, and hessian.AI combine excellence and resources in the areas of supercomputing, cutting-edge AI research and collaboration with industry in a remarkable way. The expected outcome of this collaboration is unique in Germany and Europe.

Mathis Bode, Project Manager of JUPITER AI Factory

Background: Strengthening AI Innovation in Europe

The JUPITER AI Factory is a key project in implementing the "AI Innovation Package to support Artificial Intelligence Startups and SMEs", launched by the European Commission in January 2024. It maintains a close partnership with AI Factory HammerHAI, which is operated in collaboration with the High Performance Computing Centre Stuttgart and the Leibniz Supercomputing Centre. These institutions work together with the Jülich Supercomputing Centre under the umbrella of the Gauss Centre for Supercomputing.

Additionally, the JUPITER AI Factory maintains partnerships with leading AI factories across Europe, including BSC AIF (Spain), IT4LIA (Italy), and in particular GENCI (France), where Alice Recoque, Europe’s second Exascale supercomputer, is being developed.

Europe’s AI Booster: JUPITER AI Factory Brings Exascale Power to Business and Science
The EuroHPC Ecosystem
EuroHPC
Europe’s AI Booster: JUPITER AI Factory Brings Exascale Power to Business and Science

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      Last Modified: 12.03.2025