'GCP Vertex AI Managed Notebook cannot use custom container
In GCP Vertex AI, I created a Managed Notebook by specifying one of our custom containers which work perfectly with User-Managed Notebook kernels. The Managed Notebook starts, and Jupyter Lab seems to work without any signs of error.
Unfortunately, if I look at the available kernels in Jupyter Lab, only the default kernels are listed but not my custom kernel.
An activity log entry on the right shows a spinning wheel "Loading kernel from [custom container]" which never disappears.
Taking a look at the terminal,
docker image ls
does not show the custom container either; obviously, it was not even pulled to the Managed Notebook.
If I perform
docker pull [custom container]
in the terminal, to test connectivity to the Artifact Registry then it pulls the container correctly as expected. However, the custom kernel is still not visible in Jupyter Lab (even after a notebook restart).
Sources
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Source: Stack Overflow
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