TY  - CONF
AU  - Taborsky, Petr
AU  - Colonnelli, Iacopo
AU  - Kurowski, Krzysztof
AU  - Sarma, Rakesh
AU  - Pontoppidan, Niels Henrik
AU  - Jansík, Branislav
AU  - Detlefsen, Nicki Skafte
AU  - Pedersen, Jens Egholm
AU  - Larsen, Rasmus
AU  - Hansen, Lars Kai
TI  - Towards a European HPC/AI ecosystem: a community-driven report
VL  - 255
SN  - 1877-0509
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - FZJ-2025-02284
T2  - Procedia computer science
SP  - 140 - 149
PY  - 2025
AB  - The rapid advancements in AI and Machine Learning necessitate a robust computational infrastructure to support cutting-edge research and industrial applications. From the academic and industrial AI community perspective, voiced in the recent ELISE project, the European AI platform is recommended to center around the EuroHPC growing ecosystem. It should be user-driven, easily accessible, powerful, and compliant with European regulations. AI-optimized and dedicated supercomputers for the European AI community are also coming, in addition to upgrading partitions of existing EuroHPC systems to ’AI enabled’ stage. Related calls have been initiated in September 2024. Further, conventional EuroHPC systems are suggested to be extended with quantum computing, edge AI, and neuromorphic computing to cater to AI models deployed on network edge devices and sustainability in the long run. The challenges are presented in three case studies, ranging from training Transformers on HPC to LLMs trained federally across three different Euro HPC systems to recent results on hybrid classical-quantum application. This paper concludes with case studies results-informed next steps believed to benefit AI practitioners and the broader AI community.
T2  - 2nd EuroHPC User Day
CY  - 22 Oct 2024 - 23 Oct 2024, Amsterdam (Netherlands)
Y2  - 22 Oct 2024 - 23 Oct 2024
M2  - Amsterdam, Netherlands
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1016/j.procs.2025.02.269
UR  - https://juser.fz-juelich.de/record/1041498
ER  -