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Multiple users use same jupyter kernel

Question: Is it possible to have multiple users connect to the same Jupyter kernel?

Context: I am trying to provide jupyter notebook access to large volume of users. All users are using python.

Right now, every notebook spawns a new kernel pod in the kubernetes cluster and this is inefficient. I am looking for a way to connect a few users to a single kernel pod in Kubernetes. So that we can consume relatively lower compute resources.

I am new to jupyter notebooks so my terminology might have errors. Also, I came across KernelProvisioner and was wondering if that's of any help?

I am looking to see

  1. If it's even possible in Jupyter?
  2. Which new K8S objects to add to achieve this for example, custom controllers, services, deployments etc.

Any inputs will be appreciated.

Thank you!



source https://stackoverflow.com/questions/73409481/multiple-users-use-same-jupyter-kernel
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