JupyterHub enables you to run the feature-rich JupyterLab IDE from your browser, with the resources of a supercomputer behind it!
Since JupyterHub uses Rocket as its computational backend, access to JupyterHub is bundled with access to the Rocket compute cluster.
Read more here: https://docs.hpc.ut.ee/public/services/jupyter.hpc.ut.ee/

Currently, JupyterHub is only available to people affiliated with the University of Tartu.
However, Jupyter notebooks (essentially a slimmed-down version of JupyterLab) can be run via Open OnDemand, which is available to everyone via ETAIS.

Pricing

The table below indicates the prices of our services for the structural units of University of Tartu and users outside of the University. For additional information please check our pricing.

HPC Compute servers
  • CPU 0.012 EUR/core h or
  • Memory 0.012 EUR/6GB/h.
  • GPU 0.5 EUR/GPU/h.

  • Memory usage is calculated by 6 GB segments.
    Price depends on the use of which resource is greater. Accounting of the use the computing servers is based on the amount of memory (with 1 unit being equal to 6 GB of RAM/h) and processors (with 1 unit being equal to 1 core/h) allocated to the user’s job(s).

  • When determining the order of starting compute jobs, jobs with higher priority are given preference.
Calculate your costs
Storage space
  • Storage 80 EUR/1TB/year
  • In case of 2x replicated data, 160 EUR/1TB/year.
  • A copy stored on tape costs 30 EUR/1TB/year.
  • Replicated + tape stored data costs 190 EUR/1TB/year.

  • Usable protocols are Samba, NFS, dsmc (TSM command line tool) and direct usage from HPC cluster.
    If looking for simpler access protocols, S3 is a better option.
Calculate your costs
Administrator’s hourly rate
  • Rate 60 EUR/h

  • Will be applied in case the desired software requires unusually long and complicated installation process.