Vienna Scientific Cluster

Beginning with January 2023 the Vienna Scientific Cluster 5 (VSC-5) is ready for regular user operation. The older cluster VSC-4 can still be used as the VSC team strives to always provide two cluster versions at the same time.



The Faculty of Mathematics bought one GPU node of the VSC-5. Each GPU node has 128 CPU cores, 512 GB RAM and two NVIDIA A100 cards with 40GB memory each. To get access please contact the math:helpdesk with the following information:

  • username (free to choose)
  • a strong password (not dictionary based and at least: 10 characters, one digit, one lower case letter, one upper case letter and one of these special characters: '!@#$%^&*?_~(),-")
  • first and last name
  • your cellphone number (international format: e.g. +43...) to receive text messages (since the cluster works with 2FA)

If you don't feel comfortable with sending a password by email, please make an appointment with Martin Piskernig to get an account.

Once your account is created, you'll receive a confirmation email.

Note that only two persons can compute at a time! If you need more computing power, please apply for a project.



VSC-5 (CPU + GPU nodes)
Year of acquisition2022
Sockets per node2
Clock rate2,0 GHz
Number of nodes710 + 60
Cores per node128
Total number of cores98560
Memory per core4 GB
Memory per node512 GB - 2048 GB
Total memory~400 TB
NetworkMellanox HDR infiniband (200 Gbit/s)
Theoretical computing power3,05 PFlop/s
LINPACK benchmark2,31 PFlop/s
Initial entry on the Top 500301 (June 2022)
Initial entry on the Green50090 (June 2022)



The operating system of the VSC-5 is AlmaLinux, the job schedular is SLURM and there is Mathemtica 12.3.1 and Matlab v9.13_REL2022b (as well as v9.7.R2019b) installed. Please check /opt/sw/vsc4 for various other software packages (or previous versions of these) or use

$ module avail



Use ssh to connect to (from the university network or VPN):

$ ssh

After entering your cluster password you will be asked to enter your OTP which you will receive via sms (the OTP lasts 12 hours). You can then acquire a GPU node using the following command:

$ salloc -p zen3_0512_a100x2 --gres=gpu:2

Using a single A100 card (i.e. --gres=gpu:1) is also possible but only when using the sbatch command. Note that the node allocation may take some time, usually only up to a few minutes. Use the command

$ squeue -q p70700_a100dual

to view the current state of the private Faculty queue.

For more details see "Access to VSC" documentation in the VSC Wiki.



There is no backup of your user data, you have to backup your data by yourself! Once there's no space left anymore on the /global file system, data older than about 180 days will be deleted.



If you need further support please don't hesitate to contact the VSC support team.