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You can run Jupyter Notebook on a compute node (highly recommended) or on a login node (not recommended). Note that login nodes impose various user- and process-based limits, so applications running there may be killed if they consume too much CPU time or memory. To use a compute node you will have to submit a job requesting the number of CPUs (and optionally GPUs), the amount of memory, and the run time. Here, we give instructions to submit a Jupyter Notebook job. | You can run Jupyter Notebook on a compute node (highly recommended) or on a login node (not recommended). Note that login nodes impose various user- and process-based limits, so applications running there may be killed if they consume too much CPU time or memory. To use a compute node you will have to submit a job requesting the number of CPUs (and optionally GPUs), the amount of memory, and the run time. Here, we give instructions to submit a Jupyter Notebook job. | ||
Certains de nos partenaires régionaux ont un portail JupyterHub pour éviter aux utilisateurs de créer leur propre configuration Jupyter Notebook. Pour plus d'information, consultez [[JupyterHub]]. | |||
== Installation == | == Installation == |