Urblauna Kesako? Urblauna (Romanche), or Lagopède Alpin in French, is a bird known for its changing plumage which functions as a very effective camouflage. More information is available at https://www.vogelwarte.ch/fr/oiseaux/les-oiseaux-de-suisse/lagopede-alpin It's also the name of our new sensitive data compute cluster which will replace the Jura cluster. Information on how to connect to Urblauna can be found here . Information on the Jura to Urblauna migration can be found here The differences between Jura and Urblauna are described here Hardware Compute The cluster is composed of 18 compute nodes of which two have GPUs. All have the same 24 core processor. Number of nodes Memory CPU GPU 16 1024 GB 2 x AMD Epyc3 7443 - 2 1024 GB 2 x AMD Epyc3 7443 2 x NVIDIA A100 The GPUs are partitioned to create 4 GPUs on each machine with 20GB of memory per GPU Storage The storage is based on IBM Spectrum Scale / Lenovo DSS and provides 1PB of space in the /data filesystem. Whilst reliable this space is not backed up and all important data should also be stored on /archive The Curnagl /work filesystem is visible in read-only mode on Urblauna and can be used to install software on an internet connected system before using it on Urblauna. **Filesystem mount point** **Description** /users Urblauna home directory /scratch Urblauna scratch space (automatic cleanup) /data Urblauna data space (no backup) /archive Secure data space with backup (login node access only) /work Curnagl data space (read only) /jura_home Jura home directories (read only, login node only) /jura_data Jura data space (read only, login node only) Software For information on the DCSR software stack see the following link: https://wiki.unil.ch/ci/books/high-performance-computing-hpc/page/dcsr-software-stack Slurm partitions On Urblauna there are two partitions - "urblauna" and "interactive" $ sinfo PARTITION AVAIL TIMELIMIT NODES STATE NODELIST urblauna* up 3-00:00:00 17 idle sna[002-016],snagpu[001-002] interactive up 8:00:00 4 idle sna[015-016],snagpu[001-002] There is no separate GPU partition so to use a GPU simply request #SBATCH --gres=gpu:1 To launch an interactive session you can use Sinteractive as on Curnagl