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When using the jupyter_ai extension, the memory is used by default around 2GB. (jupyterlab docker image in k8s)
Disabling jupyter_ai extension still does not reduce memory usage. I checked and the ray process is still Running.
Of course, starting jupyterlab in a disabled state reduces memory usage, but I want to reduce memory usage without restarting.
Proposed Solution
Provides a way to set the amount of memory allocated to the ray process
Disabling the jupyter_ai extension also stops the ray process.
Additional context
The text was updated successfully, but these errors were encountered:
Closing this because we have migrated from Ray to Dask (#244). If you continue to notice performance issues with the new system, please open a new issue. Thank you for your contribution!
Problem
When using the jupyter_ai extension, the memory is used by default around 2GB. (jupyterlab docker image in k8s)
Disabling jupyter_ai extension still does not reduce memory usage. I checked and the ray process is still Running.
Of course, starting jupyterlab in a disabled state reduces memory usage, but I want to reduce memory usage without restarting.
Proposed Solution
Additional context
The text was updated successfully, but these errors were encountered: