HPC and AI in Germany | Resources and Support

Researchers from a broad spectrum of scientific fields use computers to aid their research, often starting at their own laptop or institutional workstation. At some point in the research, additional help in form of algorithmic or software engineering consultancy or even additional computational resources in form of access to high-performance computing (HPC) systems may become necessary. Furthermore, on the side of AI, it may be unclear how practices of machine learning and artificial intelligence could be employed for their specific research. This poster aims at enabling researchers to identify resources for computing time, application support and training on topics of HPC and AI, by presenting a collection of contacts and further information on initiatives in Germany to aid them in their work. It ties together resources, both on the state level, with information on HPC competence networks, as well as the national level, with information on the NHR initiative (Nationales Hochleistungs-Rechnen), the National AI Service Centers, as well as national resources of the Helmholtz Association. As such, it enables participants at the conference, as well as anyone viewing the poster later, to identify quickly contacts close to their institution or domain to receive assistance with HPC and AI services.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-03
DOI
https://doi.org/10.5281/zenodo.15675932
Primary Topic
Digital Innovation in Industries
Type
article
Field-Weighted Citation Impact
0.00
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article

HPC and AI in Germany | Resources and Support

Zenodo (CERN European Organization for Nuclear Research)
Digital Innovation in Industries
article

HPC and AI in Germany | Resources and Support

article en

Abstract

Researchers from a broad spectrum of scientific fields use computers to aid their research, often starting at their own laptop or institutional workstation. At some point in the research, additional help in form of algorithmic or software engineering consultancy or even additional computational resources in form of access to high-performance computing (HPC) systems may become necessary. Furthermore, on the side of AI, it may be unclear how practices of machine learning and artificial intelligence could be employed for their specific research. This poster aims at enabling researchers to identify resources for computing time, application support and training on topics of HPC and AI, by presenting a collection of contacts and further information on initiatives in Germany to aid them in their work. It ties together resources, both on the state level, with information on HPC competence networks, as well as the national level, with information on the NHR initiative (Nationales Hochleistungs-Rechnen), the National AI Service Centers, as well as national resources of the Helmholtz Association. As such, it enables participants at the conference, as well as anyone viewing the poster later, to identify quickly contacts close to their institution or domain to receive assistance with HPC and AI services.

Zenodo (CERN European Organization for Nuclear Research)
RWTH Aachen University (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Digital Innovation in Industries
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