Runpod•4mo ago

Jupyter lab can't read custom environment

Hello, I have a (probably) easy question. I bought a monthly storage so that I can install my libraries on it. However, when I launch a gpu pod, jupyter lab doesn't recognize the custom environment... Has anyone else had this problem?

aspiring1•9/18/25, 7:38 AM

You have to give more details where had you installed jupyter-labjupyter-laband your custom libraries - were they installed on the disk-volumedisk-volume or the network-volumenetwork-volume? - also give the method you used to install eg : pip install in a virtual environment (and path of virtual-env)

bonjourOP•9/18/25, 12:12 PM

Hi thanks for answering. I installed the libraries via pip on the disk-volume after activating a custom environment

aspiring1•9/18/25, 5:08 PM

Did you create the custom environment (virtualenv or conda could you elaborate) inside your network volume /workspace/workspace partition or on your disk volume.

Disk volumes are erased as soon as you terminate your pod - but if you created your environment on a network-volumenetwork-volume , it should still exist after you activate it. Did you try running pip listpip list on your virtual environment - if yes, did you see the packages installed therein?

Jupyter lab can't read custom environment

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