NHR4CES@RWTH
Rheinisch-Westfälische Technische Hochschule Aachen
Aachen

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.
Technical Specifications
| Center Name | NHR4CES@RWTH |
|---|---|
| Total Resources: | |
| # CPU-Cores | 120 192 |
| # GPUs | 148 |
| Additional Information | |
| max. job run time [h] | 168 |
| jupyter notebook available [y/n] | y |
| CPU Resources: | |
| System 1 | CLAIX-2023 - HPC |
| CPU-Type | Intel Xeon 8468 |
| # nodes | 410 |
| # Cores per node | 96 |
| memory per node [GB] | 256 - 512 |
| System 2 | CLAIX-2025 - HPC |
| CPU-Type | ADM GENOA 9654 |
| # nodes | 421 |
| # Cores per node | 192 |
| memory per node [GB] | 384 - 768 |
| GPU Resources | |
| System 1 | CLAIX-2023 - ML |
| GPUs per node | 4 x NVIDIA H100 |
| # nodes | 31 |
| memory per GPU [GB] | 94 |
| System 2 | CLAIX-2025 - ML |
| GPUs per node | 4 x NVIDIA H100 |
| # nodes | 6 |
| memory per GPU [GB] | 80 |