Intern
    Data Science Chair

    Chair of Data Science HPC Cluster

    The Chair of Data Science runs a High Performance Computing Cluster on the premises of the University of Würzburg. The cluster allows distributed computations on large datasets for research purposes and big data applications. The considerable number of GPUs enable large scale machine learning experiments which are necessary for modern AI research.

    Workloads are scheduled in containers through Kubernetes with Ceph providing a distributed filesystem. We also run Hadoop, HBase, and Accumulo within the cluster.

    General Information

    Nodes 23
    Physical CPU cores 640
    Logical CPU cores 1280
    GPUs 45
    System Memory 5824 GB
    GPU Memory 498 GB
    Total Memory 6322 GB
    Theoretical Perfomance (FP32) 580 TFLOPS
    Distributed Storage Capacity 575 TB