Please note

With the RWTHjupyter service, the IT Center provides all teachers and students at RWTH with a central JupyterHUB / Jupyter Notebooks 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 the HPC JupyterHub instead.

The HPC JupyterHub uses the RWTH High Performance Computing 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 2,3 Ghz
• Redundant Dual 10 GigE links
• 768 GB DDR4 RAM / node (5.376 GB total)
• 100 TB SSD Storage in Ceph

Additionally, 1 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 64 GiB RAM, 32 CPU cores and a 4 GiB of persistent storage space for your home directory.

Please note, that it is important that users only have a quota of 4GiB at their disposal.

If it is foreseeable that you are requiring more space, please ask within your profile request to create a folder with the required data in our dataset share.
This share can be accessed by all users and serves to optimize storage usage so that not every student needs all datasets in their home directory.