Artificial Intelligence

Artificial intelligence is rapidly emerging as a transformative technology that will affect science, engineering, industry, public administration, and many other sectors of society. At HLRS, we offer a powerful computing infrastructure and technical expertise that make it possible to explore the possibilities that artificial intelligence now offers. Our supercomputing capabilities support applications using generative AI, deep learning, large language models, and foundation models. Scientists in our Department of Converged Computing are also improving methods for integrating AI, simulation, cloud computing, and other advanced computing technologies in efficient workflows.

Computing systems for artificial intelligence

HPE Cray EX4000 (Hunter)

Beginning in early 2025, this next-generation, APU-accelerated supercomputer will offer increased performance for AI and hybrid computing.

Hawk AI Expansion

Initially installed as part of HLRS’s previous flagship system, Hawk, the AI expansion continues to offer NVIDIA GPUs suitable for machine learning and artificial intelligence applications.

NVIDIA A30 Partition

This partition of HLRS's Vulcan cluster is ideal for smaller-scale AI applications; for example, for SME's that require only a single, mid-range GPU per node.

AMD GPU System

Integrated into our Vulcan cluster, this system is dedicated to research related to the COVID-19 pandemic and other needs for crisis computing.

Application areas

HLRS provides computing infrastructure and expertise in AI for scientists, industrial researchers, and organizations of other kinds interested in testing new applications of AI technologies. Click for examples of how our systems are used.

AI for Science and Engineering

AI for Industry

AI for Media and the Arts

Dimensions of AI

In addition to providing access to high-performance computing systems, HLRS staff has expertise in supporting methods and concepts that are driving the AI field forward.

Converged computing

The future of high-performance computing lies in hybrid approaches that integrate AI with HPC, cloud, and edge computing technologies.

Physics-informed neural networks

Incorporating physical constraints in machine learning methods can improve model accuracy and utility.

Large language models

Our systems make it possible to train large language models like ChatGPT, and to use such models in generative AI applications.

Foundation models

We enable adaptation of models based on large, diverse datasets to develop customized solutions to specific problems.

Develop your AI skills

Are you interested in improving your knowledge about programming artificial intelligence applications on high-performance computing systems? HLRS regularly offers courses in machine learning, deep learning, and related topics that can help you turn your ideas into AI solutions.

Related courses

All training

Oct 20 - Nov 10, 2025

Online (flexible)

English

Supercomputing Academy: Time Series Forecasting

Oct 28 - 31, 2025

Stuttgart

English

Multi-GPU Deep Learning

Nov 03 - Dec 05, 2025

Online (flexible)

German

Supercomputing Academy: Data management

HammerHAI: an AI Factory for Science and Industry

As coordinator of this EuroHPC JU project, HLRS will operate a new AI-optimized supercomputer and develop solutions to make AI more secure and accessible.

Learn more >

HLRS research projects

In addition to providing hardware and solutions for AI, research scientists at HLRS coordinate and contribute to collaborative, funded research projects that are addressing key technical problems facing the AI field and exploring potential applications of AI to solve pressing challenges. These activities enable us to build expertise and help us to better address the interests and needs of our system users.

Photo of Dennis Hoppe and colleague at work in HLRS offices.

HiDALGO2

The HiDALGO2 project is addressing challenges caused by climate change, focusing on technical issues related to scalability on HPC and AI infrastructures, the use of computational fluid dynamics methods, and uncertainty analysis.

IKILeUS

HLRS is the coordinating center for this project to integrate artificial intelligence (AI) topics into curricula at the University of Stuttgart, and to implement AI technologies to improve instruction.

DECICE

DECICE is developing an open and portable cloud management framework that will enable the automatic and adaptive optimization of software applications for heterogeneous computing architectures.

See a list of all HLRS projects related to artificial intelligence.

AI Community Memberships

Smart Data Solution Center

This membership organization brings together researchers, users, and companies offering data analytics solutions to pool expertise and accelerate the development of shared solutions for commonly faced problems.

German AI Association

Offers a platform for raising the visibility of German innovation using artificial intelligence, helping AI-focused businesses to address key challenges they face, and serving as a voice for the AI community on the national political level.

Contact

Would you like to learn more about using HLRS's systems for artificial intelligence? Please contact us.

Dennis Hoppe

Head, Converged Computing

+49 711 685-60300 dennis.hoppe(at)hlrs.de