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, Docker, OpenStack, Singularity|
|Cluster||Hadoop, Kubernetes, Slurm, Spark|
|Database||MariaDB, MongoDB, MySQL, PostgreSQL, SQLite|
|Storage||Ceph, CephFS, Hadoop, Glusterfs, Lustre, NFS, S3, Swift, ZFS|
|Development||C, C++, CUDA, Java, Python, Scala, Open MPI|
|Machine Learning||scikit-learn, TensorFlow, Theano|
|Python||Flask, matplotlib, NumPy, pandas, SciPy|
|Research Data Management||openBIS|
|Science||Jupyter, R/RStats, Tidyverse|