Please note:

Through RWTHjupyter the IT Center provides all teachers and students at RWTH Aachen University with a central JupyterHUB / Jupyter Notebook infrastructure for teaching.

Jupyter notebooks are web-based, interactive applications whose contents can be texts, equations, visualisations and source code. The JupyterHUB platform provides a way to organise access to and execution of Jupyter Notebooks.

If you are a researcher or require more hardware resources, consider using the HPC JupyterHub instead.

The HPC JupyterHub uses the RWTH High Performance Computing cluster and is used for research and interactive HPC.

RWTHjupyter is an interactive computing platform provided by the IT Center in collaboration with the Institute for Automation of Complex systems.

It has been funded by the Projekt Digitale Lehr-/Lerninfrastrukturen DH NRW in 2019 and is thereby provided cost-free to all students and employees of the RWTH.

We host most of our code, configuration and more on the RWTH GitLab instance.

Who can use the Service "RWTHjupyter"?

RWTH students and employees can use RWTHjupyter. Log in via the RWTH Single Sign-On.

Technical Specifications

Hardware

The RWTHjupyter cluster consists of 7 Dell PowerEdge R740xd servers with the following configuration:

7x Dell PowerEdge 740xd:

• Dual Socket Systems: 2x 16C / 32T Xeon Gold 5218 2,3GHz
• Redundant Dual 10 GigE links
• 768GB DDR4 RAM / node (5376GB total)
• 100TB SSD Storage in Ceph

Additionally, one of the nodes is equipped with 2x NVIDIA Tesla T4 GPGPUs.

Software Configuration

RWTHjupyter runs on a highly-available Kubernetes cluster using the Zero 2 JupyterHub project.

User resource quota

We currently provide each user container with a maximum of 64GB RAM, 32 CPU cores and 4GB of persistent storage space for their home directory.

Please note, that users only have a quota of 4GB at their disposal.

If you can foresee that you will require more space, please tell us this within your profile request. We can then create a folder for the additional data in our dataset share.
This share can be accessed by all users and serves to optimize storage usage, so that users do not need every dataset to be in their home directory.