The Computing Services of MPCDF
The MPCDF provides facilities for high-performance computing (HPC) and data analytics/machine learning (HPDA/ML) , capacity computing (Linux clusters) and remote visualization and supports general-purpose and dedicated systems.
A list of the major computing systems can be found below. A detailed description and technical documentation can be found at the MPCDF user documentation.
High-Performance Computing
The MPCDF hosts the central HPC resources of the Max Planck Society with a typical renewal cycle of 5 years. Open to scientists affiliated with Max-Planck Institutes which joined the corresponding proposals to the Max Planck Society (test access can be granted on request).
Based on Intel Xeon IceLake-SP processors and Nvidia A100 GPUs. Deployment in two phases (April and June 2021) with 1592 CPU compute nodes, 114,624 CPU-cores, 375 TB RAM (DDR4), 7.5 PFlop/s theoretical peak performance (FP64), 192 GPU-accelerated nodes providing 768 Nvidia A100 GPUs, 30 TB GPU RAM (HBM2).
Based on Intel Xeon Skylake-SP processors and Nvidia GPUs (V100, RTX5000): 3424 compute nodes, 136,960 CPU-cores, 128 Tesla V100-32 GPUs, 240 Quadro RTX 5000 GPUs, 529 TB CPU RAM (DDR4), 7.9 TB GPU RAM HBM2, 11.4 PFlop/s peak (FP64) + 2.64 PFlop/s peak (FP32)
Linux Compute Clusters
The MPCDF hosts dedicated compute clusters for many Max Planck Institutes. Open to scientists affiliated with the Max-Planck Institute(s) owning the resouces.
Dedicated Linux Compute Clusters hosted for several Max Planck Institutes
Further computing infrastructure and services
A flexible and powerful computing environment for complex workflows, complementing the HPC systems.
Jupyter notebooks, remote visualization, remote desktops enable convenient web-based access to the HPC systems and selected linux compute clusters