Artificial Intelligence

Image f. 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

Coming soon: Hunter

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

HPE Apollo (Hawk)

HLRS's current flagship supercomputer supports large-scale data analytics as well as new kinds of hybrid workflows that combine HPC and AI.

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.

Application areas

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

October 14 - 31, 2024

Online (flexible)


November 04 - December 13, 2024

Online (flexible)


Logo: Smart Data Solution Center

Smart Data Solution Center

HLRS is a founding member of the Smart Data Solution Center Baden-Württemberg, a membership organization that brings together researchers, users, and companies offering data analytics solutions to pool expertise and accelerate the development of shared solutions for commonly faced problems. (Click to visit sdsc-bw.de.)


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.

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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.

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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.

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Contact

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

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