No Kernel Is Displayed After a Notebook Instance Created Using a Custom Image Is Started

Symptom

After an instance created using a custom image is started, no kernel is available when a user opens JupyterLab to create a notebook instance.

Possible Causes

The Python environment of the custom image is not registered.

Solution

1. Run the following command on the Terminal to check the number of Conda environments of the instance:

   conda env list

2. Run the following commands to switch to the corresponding environment and check whether the ipykernel package exists:

   conda activate base # Replace base with the actual Python environment.
   pip show ipykernel

3. If ipykernel does not exist in the Conda environment, add a custom IPython kernel in a notebook instance and install it.