NHR4CES@RWTH

Rheinisch-Westfälische Technische Hochschule Aachen

Aachen

Server cabinets of an NHR high-performance computing system decorated with abstract black and red artistic designs, with liquid cooling pipes visible on top, in a white computer room.

High speed for science: NHR4CES@RWTH empowers researchers, especially in the engineering sciences, to take their scientific work to the next level with HPC. As the National High Performance Computing Center for Computational Engineering Science, we offer cutting-edge computing infrastructure with our state-of-the-art CLAIX system. In addition to high-performance hardware, NHR4CES provides scientific support and a variety of training opportunities to help users use our computing resources as efficiently as possible.
 

Key Expertise and Profile

  • Cross-Sectional Groups (CSGs): Our CSGs develop and advance core HPC methodologies that are applicable across multiple scientific disciplines, including Scientific Visualization, Data Management, AI, and parallel Computing and Performance Optimization.
  • Simulation and Data Labs (SDLs): Our SDLs provide domain-specific expertise by connecting advanced HPC methods to research fields such as energy technologies, digital healthcare, fluid mechanics, and materials science.
  • Scientific Support: We support researchers in using high-performance computing efficiently through expert consulting, methodological guidance, and close collaboration between HPC infrastructure experts and application scientists.
  • Flagship Collaboration: NHR4CES combines the complementary expertise of TU Darmstadt and RWTH Aachen University, enabling researchers to benefit from shared resources, collaborative knowledge, and flexible access to HPC systems across both NHR centers. Check out NHR4CES@TUDa!

NHR4CES@RWTH is also a member of the regional HPC.nrw competence network of North Rhine-Westphalia.

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Technical Specifications

Center NameNHR4CES@RWTH
Total Resources:
# CPU-Cores120 192
# GPUs148
Additional Information
max. job run time [h]168
jupyter notebook available [y/n]y
CPU Resources:
System 1CLAIX-2023 - HPC
CPU-TypeIntel Xeon 8468
# nodes410
# Cores per node96
memory per node [GB]256 - 512
System 2CLAIX-2025 - HPC
CPU-TypeADM GENOA 9654
# nodes421
# Cores per node192
memory per node [GB]384 - 768
GPU Resources
System 1CLAIX-2023 - ML
GPUs per node4 x NVIDIA H100
# nodes31
memory per GPU [GB]94
System 2CLAIX-2025 - ML
GPUs per node4 x NVIDIA H100
# nodes6
memory per GPU [GB]80