On this page you will find information on the technical specifications of the RWTHjupyter cluster.
 

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.