The goal of this workshop is twofold: to foster discussion between HPC providers and AI/ML researchers on the challenges and opportunities of leveraging Europe’s supercomputing infrastructure, and to synthesize these insights into a concise report that highlights key barriers, contrasts perspectives across domains (AI, HPC, quantum, edge, neuromorphic), and outlines recommendations for a sustainable and accessible European supercomputing ecosystem.
Time | Session | Speaker(s) |
---|---|---|
09:00 – 09:15 | Welcome and Introduction | Nicki Skafte Detlefsen |
09:15 – 09:30 | Gefion: System Presentation | Ulrik Nicolai de Lichtenberg |
09:30 – 09:45 | Use Case from Gefion | Frederik Warburg |
09:45 – 10:00 | UPPMAX (NAISS): Systems Presentation | Erik Lindahl |
10:00 – 10:15 | Use Case from UPPMAX HPCs | Magnus Sahlgren |
10:15 – 10:30 | SIGMA2 (NRIS): Systems Presentation | Abdulrahman Azab Mohamed |
10:30 – 10:45 | Use Case from SIGMA2 HPCs | Abdulrahman Azab Mohamed |
10:45 – 11:00 | LUMI (EuroHPC): System Presentation and Use Case | Iacopo Colonnelli |
11:00 – 11:15 | Hendrix and LUMI: System Presentation and Use Case | Hui Zhang |
11:15 – 11:30 | NGC: System Presentation and Use Case | Jakob Ambsdorf |
11:30 – 11:45 | AAU HPC and LUMI: Use Case | Zheng-Hua Tan |
11:45 – 12:45 | Lunch Break | — |
12:45 – 14:00 | Group Discussions (in breakout groups) | All participants |
14:00 – 14:45 | Plenum: Collection of Feedback | Moderator |
14:45 – 15:45 | Panel Discussion: Future of Supercomputing in Europe | Panelists + Moderator |
15:45 – 16:00 | Closing Remarks | Workshop Chair |
Technical University of Denmark
Danish Centre for AI Innovation
Technical University of Denmark and AI Pioneer Centre
Norwegian Research Infrastructure Services
National Academic Infrastructure for Supercomputing in Sweden
The Pioneer Centre for Artificial Intelligence (PCAI) is a research center focused on advancing artificial intelligence technologies.
Conducting cutting-edge research in machine learning, computer vision, and AI ethics. At PCAI, researchers are presented with opportunities to collaborate on innovative projects.
The Technical University of Denmark (DTU) includes the DTU Computing Center (DCC),
located within the Department of Applied Mathematics and Computer Science (DTU Compute).
DCC provides centralized high-performance computing (HPC) services such as cluster hosting,
software stacks, storage, support, training, and consulting to students and researchers across the university.
DTU's HPC curriculum, including the Machine Learning Operations (MLOps) course
taught by Associate Professor Nicki Skafte Detlefsen, focuses on scalable, reproducible, and automated ML workflows
and practical deployment practices.