I just want to know how they installed the new nvidia cuda drivers without borking their Ubuntu/tf install.
+ tf-nightly and other python libraries installed through pipenv
It helps keeping to Ubuntu LTS versions though, that's what they support best.
A couple of months ago, I removed all the references in apt sources, and followed the newer instructions (several times to get the right driver/cuda/tensorflow match) and my reboots are great, and only one GPU lock up so far (probably due to overheating - I've had to replace a couple of components flag as failed due to the heatwave in summer)
Jupyter hub is just great, I'd like to implement better diagnostics though ... have yet to find a good tutorial for that as yet.