Originally published at: https://developer.nvidia.com/blog/gpu-dashboards-in-jupyter-lab/
Learn how NVDashboard in Jupyter Lab is a great open-source package to monitor system resources for all GPU and RAPIDS users to achieve optimal performance and day to day model and workflow development.
The blog article was posted 3 days ago and contains long detailed “documentation” of how to install this extension using various way
But this article is already wrong (probably outdated) and misleading for potential users.
The article instructions to install:
pip install jupyterlab-nvdashboard
jupyter labextension install jupyterlab-nvdashboard
Gives:
ValueError: The extension "jupyterlab-nvdashboard" does not yet support the current version of JupyterLab.
According to the official docs (GitHub - rapidsai/jupyterlab-nvdashboard: A JupyterLab extension for displaying dashboards of GPU usage.) we only need to do the pip install (like for most extension on JupyterLab 3). And the extension is only supported on JupyterLab > 3, so the whole installation process documented in this 3 days-old article already does not exist anymore