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Central IT Science IT

Technologies Science IT


State-of-the-art hardware is underlying the Science IT Computing services, including:

  • Intel Xeon and AMD EPYC CPUs
  • NVIDIA T4, V100, A100 GPUs
  • InfiniBand and HPE Cray Slingshot

Details are available in the Science IT Computing User Documentation.


Science IT focuses on the usage of open-source software solutions, to cover for the general needs of research groups. This includes the software packages and tools listed in the following for which Science IT has expertise.

IT Administration Ansible, CFEngine, OpenStack
Cluster Slurm, Spark
Databases MariaDB, MongoDB, MySQL, PostgreSQL, SQLite
Storage Ceph, CephFS, NFS, S3, Swift, ZFS
Research Data Management openBIS
Programming Languages C, C++, Java, Javascript, Python, R, Rust, Scala, SQL, Typescript
Programming Models CUDA, Open MPI
Frontend Frameworks React
Python packages Dask, Flask, IPython Parallel, matplotlib, NumPy, pandas, SciPy
R packages shiny, stats, tidyverse
Interactive Computing Notebooks Jupyter, RStudio
Computational Environments Anaconda, Docker, Singularity
Workflows Snakemake
Machine Learning pytorch, scikit-learn, TensorFlow

Others: Furthermore, Science IT's experience includes scientific programing with the commercial software products MATLAB and Mathematica.

For accessing software packages managed by Zentrale Informatik and campus licenses see staff and research for further information.