Ostrava

SuperMUC-NG is one of Europe’s most powerful and energy-efficient supercomputers. As a Tier-1 HPC system, it provides high-performance computing resources for scientific research, artificial intelligence, and complex data analysis. Its two parts (Phase 1 and Phase 2) together deliver roughly 55 PFlop/s of performance and use advanced liquid cooling to support efficient operation. While Phase 1 is based on CPUs, Phase 2 adds GPU-accelerated computing capabilities to cater a greater variety of workloads.

The LRZ Linux Cluster HPC system, with its currently largest part CoolMUC-4, is a general-purpose high-performance computing cluster. As a Tier-2 HPC resource, it supports serial and parallel applications using distributed-memory (MPI), shared-memory (OpenMP/pthreads), and hybrid programming models.

The LRZ AI / BayernKI Systems provide powerful GPU-equipped nodes for artificial intelligence and Big Data research. They offer a software stack for developing AI models, along with datasets and common AI applications.

Euro-Q-Exa System 1 is a quantum computing (QC) system based on 54 superconducting qubits manufactured by IQM. It is co-funded by the EuroHPC Joint Undertaking, the German Federal Ministry of Research, Technology and Space, and the State of Bavaria. An innovative integration approach with the Munich Quantum Software Stack and LRZ’s largest HPC systems (currently SuperMUC-NG) made hybrid HPC–QC workflows possible. The Euro-Q-Exa System 2 will be 150 qubits.

HPCQC short-term storage capacities will be complemented by so-called “cold storage”, which provides necessary medium and long term storage capacities to the users. This storage will serve to store data in the active phase of their processing and in the case of not too high demands on throughput it can even partially replace the powerful SCRATCH storage, especially as a source of data for learning new neural network models.

This data storage layer will also serve as an intermediate link between computational capacities and data repositories, enabling the preparation and publication of the center's outputs concerning the principles of open science and FAIR data access.

Timeline for installations: June 2026