Starting your Working Einvironment

How to start a JupyterHub server and prepare your working environment

After logging in and being redirected to the JupyterHub.nrw website, you can choose the resources you need for your work (e.g. CPU and memory).

Note: If the cloud resources are not enough you have to use High Performance Computing (HPC).

The resource quotas depend on the respective user’s status and user groups. Higher resource quotas up to 16 vCPUs and 64GB of RAM and additional GPUs can be requested. For more information see Resources Limit.

We also offer different configurations (Notebook images) for different purposes, meaning that different software/programms are available in the corresponding JupyterLab. For more information please refere to Supported Environments.

Now you can start the server. It may take some time for your working environment (JupyterLab) to be ready.

After your environment is ready you are directed to a JupyterLab environment with softwares already installed based on the image you have chosen:

JupyterLab

If you need to install specific packages please refere to Custom Environments.

For detailed information on how to use JupyterLab and Jupyter Notebooks, please refer to the our brief User Guide for Jupyter Notebooks and the links below:

If you have problems to login please refer to this link for the common problems and their solutions.