welp, looks like you don’t use python virtualenvs… well i guess jokes on you all your shit is probably broken now (and as a bonus, that’s probably a big part of the donwload size as well) :p

nice… so we need a github marketing campaign to fund the software that makes the world run? nice…

electron has entered the room

tbf it probably is still significantly less that windows, i was being a bit facetious…but it’s still at like 1-1,5gb idling on a fresh boot (this is the whole DE, not just cinnamon)…

i did a fresh install with mate on an old machine though and it was a lot less (the usual 500mb or something) can’t see anything suspicious running though - and yes I did check without any stuff running in the background like steam which is also stupidly intensive with their webkit nonsense

does it still use the same amount of ram as windows? :/

wololooooo

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also iirc gitlab does offer something like this as a feature now with “merge trains” (though i’ve never really used it, usualy just go for the feature branch out of habit x) )

yeh that’ll probably be it tbf… the cuda drivers are specifically for scientific computing and are pretty rubbish for anything else unfortunately… even amd ones are like that :(

however a way i found around it is to just push my gpu compute envs to docker and voila (also avoids the pain of installing the drivers cos nvidia actually provides a cuda docker image) :D