Introduction

At AWI's HPC albedo, we offer a Jupyterhub service. You can log on under http://albedo0.dmawi.de:8000. Upon logging in, you are presented with a series of options; which will spawn a Jupyterlab Interface, similar to the single-user Lab. The jobs spawn on SLURM, and depending on the resources you select, have a maximum wall time ranging from 12 hours to 3 hours. If you want to use GPU resources, you also need to specify how many GPUs you would like to use.

Available Environments

By default, you are given several Conda-based environments which you can use for both Python and R. These are curated by the HPC team. Additionally, any environments you have produced yourself will be available to you. If you want to install your own kernel, please follow the instructions in (Add a Jupyter Kernel)[https://spaces.awi.de/display/HELP/Software+-+Albedo#SoftwareAlbedo-HowtouseyourowncondaenvironmentinJupyterHub/Lab?→addaJupyterKernel?]

Collaborative Editing

Another upcoming feature which is not yet extensively tested is the ability to collaboratively work on the same notebook together with colleagues.