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I am running a JupyterHub setup, with JupyterLab installed on the kernel that is running the Hub server itself.
Users have the option of selecting a kernel from the Lab interface.
Should I install the Extension in the kernel that is running JHub? Or should the extension be installed on each kernel?
The text was updated successfully, but these errors were encountered:
marcelned
changed the title
Multiple Kernels in a JupyterHub Setyp
Multiple Kernels in a JupyterHub Setup
Aug 3, 2021
The extension needs to be installed in the same environment as Jupyter Lab.
However this does mean that if you create Dask clusters using the GUI they will also be running within the Jupyter kernel and not the one that is active in the notebook. We are aware of this limitation and it's something that we would like to address.
I am running a JupyterHub setup, with JupyterLab installed on the kernel that is running the Hub server itself.
Users have the option of selecting a kernel from the Lab interface.
Should I install the Extension in the kernel that is running JHub? Or should the extension be installed on each kernel?
The text was updated successfully, but these errors were encountered: