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- login to open ondemand at https://s3df.slac.stanford.edu/ondemand
- click on the top menu bar and choose interactive apps → Jupyter
- Select Custom for Jupyter Image
- Select Conda Environment
- Set the path to the conda env setup to run the jupyter notebook. (conda info | grep "active env location" can show the path to the current active conda env)
(an example of setting up a conda env for the first time for jupyter lab is here in the lume impact jupyter example) - change <environment> to be the desired conda env name
- Click use JupyterLab instead of Jupyter Notebook
- For run on cluster type select: Batch; s3df; account: FACET; Partition Milano
- Select number of hours and cores (max is 44)cores
- Configure rest of settings
- Launch and connect
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