# Central folder for Jupyter kernels

**URL:** <https://discourse.openondemand.org/t/central-folder-for-jupyter-kernels/2646>\
**Category:** Get Help\
**Tags:** question\
**Created:** [April 19, 2023, 5:11pm UTC](https://discourse.openondemand.org/t/central-folder-for-jupyter-kernels/2646 "2023-04-19T17:11:00Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![jeff.ohrstrom](https://sea1.discourse-cdn.com/flex015/user_avatar/discourse.openondemand.org/jeff.ohrstrom/32/136_2.png) [@jeff.ohrstrom](https://discourse.openondemand.org/u/jeff.ohrstrom)\
**Post date:** [April 19, 2023, 5:22pm UTC](https://discourse.openondemand.org/t/central-folder-for-jupyter-kernels/2646/2 "2023-04-19T17:22:01Z")

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I think this is what you’re looking for. The TLDR is use `JUPYTER_PATH=$JUPYTER_PATH:/my/shared/diretory` where `/my/shared/diretory/kernels` has all your kernels.

> [@Jupyter Notebooks not seeing GPU](https://discourse.openondemand.org/t/jupyter-notebooks-not-seeing-gpu/2511/9):
>
> OK - I would suggest you take this approach. Instead of issuing this command (I don’t know about the ~/.bashrc) /gpfs/shared/apps\_local/python/3.7-1.20/condabin/conda init Find your kernel(s) and/or move them to some appropriate place and add that directory to the JUPYTER\_PATH. Here’s what I just tested with: export JUPYTER\_PATH="$JUPYTER\_PATH:/users/PZS0714/johrstrom/ondemand/app-testing/kernels" I just tested this similar setup. I have the conda environment in a different location than …

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