LRZ

Leibniz Supercomputing Centre (LRZ)

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Expertise and Focus

The Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities is one of Europe’s leading high-performance computing facilities and a key partner in EuroHPC initiatives. LRZ provides cutting-edge infrastructure for extreme-scale scientific computing, data management, and AI applications, and is home to SuperMUC-NG, one of the most powerful supercomputers in Europe. With decades of experience in operating advanced HPC systems and supporting international scientific collaborations, LRZ plays a pivotal role in enabling breakthroughs in computational science and engineering.

LRZ is based in Garching near Munich and is known as a world-class computing and IT service provider for academia in Bavaria, Germany, and beyond. Founded in 1962, LRZ operates at the forefront of supercomputing, data science, and quantum technologies, supporting a broad range of scientific domains from physics and engineering to life sciences and artificial intelligence. As one of the three national supercomputing centres in Germany and a key member of the Gauss Centre for Supercomputing, LRZ plays a central role in the European high-performance computing ecosystem.

Role in CLARA

Within CLARA, LRZ brings its unique expertise in hybrid quantum–classical computing, workflow orchestration, and large-scale data analytics. It contributes to the development and integration of next-generation HPC and quantum resources, such as the Euro-Q-Exa system, into CLARA’s research infrastructure. LRZ’s focus is on providing the technological backbone for complex simulations and AI-driven models in neuroscience and neurodegenerative disease research, ensuring that CLARA researchers can push the boundaries of what is computationally possible.

Representatives

„Large-scale simulations of neural networks such as those that the CLARA Center of Excellence is planning to carry out require enormous computing power. We are integrating supercomputers, quantum computers and artificial intelligence methods with the technical requirements of the LRZ. We are now looking forward to using our resources and expertise to help CLARA researchers gain new insights.“

Prof. Dieter Kranzlmüller, Chairman of the Board of Directors of LRZ.

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