Supercomputing Workshop 2025

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.

Preliminary Program

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

Organizers

Nicki Skafte Detlefsen

Technical University of Denmark

Ulrik Nicolai de Lichtenberg

Danish Centre for AI Innovation

Benjamin Starostka Jakobsen

Technical University of Denmark and AI Pioneer Centre

Abdulrahman Azab Mohamed

Norwegian Research Infrastructure Services

Erik Lindahl

National Academic Infrastructure for Supercomputing in Sweden

Collaborations

Pioneer Centre for Artificial Intelligence

Pioneer Centre for Artificial Intelligence

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.

Technical University of Denmark

Technical University of Denmark

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.

Danish Centre for AI Innovation

Danish Centre for AI Innovation

DCAI is home to Gefion, Denmark's first supercomputer optimised for large-scale projects using AI.

Gefion is a large-scale NVIDIA DGX SuperPOD. It comprises 191 NVIDIA DGX H100 systems for a total of 1,528 NVIDIA H100 Tensor Core GPUs.