conda activate [environment]

pip install ipykernel

python -m ipykernel install --user --name=[environment] --display-name='display-[environment]'

Create sbatch file (jupyter.sh):

#!/bin/bash
#SBATCH --job-name=jupyter
#SBATCH --output=jupyter_logs/log-%J.txt
#SBATCH --nodes=1
#SBATCH --tasks-per-node=1
#SBATCH --cpus-per-task=1
#SBATCH --gres=gpu:1
#SBATCH --time=04:00:00

source /data/[username]/anaconda3/etc/profile.d/conda.sh
source ~/.bashrc
conda activate [environment]
jupyter-notebook --no-browser --ip=0.0.0.0 --NotebookApp.kernel_name=[environment]

sbatch jupyter.sh

Open sbatch log file and copy the [http://compute-permanent-node](<http://compute-permanent-node/>)... thing:

go back to jupyter notebook, click on the jupyter notebook kernel, and then “select another kernel”

click on “existing jupyter server”

click on “Enter the URL of the running Jupyter server” (will need to scroll to the bottom if you have a bunch of jupyter servers)

copy in the http://compute-permanent-node... link from earlier:

select the kernel (or provide a name):