RWTH HPC JupyterHub
The RWTH HPC JupyterHub can be reached here and is provided by ITC RWTH Aachen University.
Short Facts
- Service URL
- Target group
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Researchers, RWTH Students/Employees/Guests, Juelich Members, Users sponsored by other Users, Users upon project application
- Login process
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Login with RWTH HPC Account through most NHR or NRW VPNs
- Support
- Documentation
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https://help.itc.rwth-aachen.de/service/rhr4fjjutttf/article/689934fec5a34c909c54606f6bc2e827/
Features
RWTH HPC JupyterHub offers:
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Version(s): JupyterHub 3.0+, JupyterLab 3.4.7+
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Shared folder exists
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Persistent storage
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Available computing time (core-hours) vary based on user affiliation or project. Project application is necessary.
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Users installs planned, by request only at the moment.
Programming Languages:
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Python 3.9
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Octave
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R
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C++ 11/14/17
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Matlab 2020b
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Matlab 2022b
Environments:
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Python: Keras + Tensorflow
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Python: Tensorboard + Keras + Tensorflow
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Python: Pytorch
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Pytorch: Tensorboard
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Python: Gurobi
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Matlab: Gurobi
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Custom
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ipytree
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jupyterlab-drawio
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jupyterlab-plotly
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jupyterlab_iframe
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nbdime-jupyterlab
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jupyter-matplotlib
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jupyterlab_pygments
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jupyterlab/git
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jupyterlab/latex
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jupyter-widgets/jupyterlab-manager
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Matlab 2022b
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Matlab 2020b
Resources
RWTH HPC JupyterHub provides Jupyter servers within the following resource limits:
| Resource | Default | Maximum |
|---|---|---|
| Number of Jupyter servers per user | 1 | 5 |
| Number of CPUs | 1 | 48 |
| CPU time | 4h | 172 h |
| Amount of memory | 4 GB | 185 GB |
| Number of GPUs | 0 | 2 |
| Disk space | 400 GB | 1 TB |
| Persistent disk space | 400 GB | 1 TB |
Technicals
Some technical insights about RWTH HPC JupyterHub:
- Deployment: Runs on HPC Hardware under Slurm.