Lecture on NHR Services for AI, Digital Humanities and Life Sciences!
On January 26, 2026 Anja Gerbes and Martin-Leandro Paleico were send as lecturers by NHR-NORD@Göttingen, a part of the National High-Performance Computing (NHR) network. NHR offers state-of-the-art computing resources across multiple domains including Life Sciences, Digital Humanities, AI, and more. These services can complement local HPC resources and where therefore highly relevant for users of Marvin with an extensive share.
The lecture was open to all interested parties - Whether researcher, academic, or student. We thank all participants for the great exchange and discussion during the event.
Agenda Overview:
- Introduction to the NHR Alliance: Learn about this key initiative and how it supports high-performance computing across Germany.
- Presentation on NHR-Nord@Göttingen: Explore the services provided by Göttingen’s computing center.
- Comprehensive Service Offerings: Discover the extensive services available to researchers, including tailored advice, training, and specialized computing resources.
- Explore Science Domains: Gain insights into the wide range of disciplines supported by the NHR centers.
- KISSKI AI Service Center: Learn about the cutting-edge infrastructure for sensitive and critical applications.
- Access to Computing Clusters: Get the details on how you can use these systems for your research.
- Wrap-up: Key takeaways and resources for getting started.
Slides were made available by the lecturer afterwards.
What is the National High-Performance Computing (NHR) program?
The NHR program is an integral part of Germany’s HPC infrastructure, classified as a Tier 2 center. With nine NHR centers across Germany, NHR provides free access to high-performance computing resources and expert support for universities nationwide.
What NHR offers:
- Access to state-of-the-art computing resources across multiple domains including Life Sciences, Digital Humanities, AI, and more.
- Support Services such as training, consulting, and funding opportunities for emerging scientists.
- HPC Infrastructure and a robust scientific computing software stack tailored to a wide variety of research fields.
- AI-as-a-Service through KISSKI and SAIA, offering scalable solutions and models, including large language models (LLMs), GPUs, and more.
How Can You Access These Resources?
- For University Staff: Get easy access to Tier 3 (local university clusters) or Tier 2 (NHR systems like Emmy and Grete) with support for research, courses, and external collaborations
- KISSKI AI Service Center: Focuses on secure, flexible AI training and inference. Join now to take advantage of free access.
The lecture was organized by...
