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? :/
haha now that you say it… maybe i didn’t question it cos it involved money to ensure xD
someone once told me tips where invented to skip the queue at the bar… and apparenty its also some witty acronym for that as well (the brits supposedly invented the concept and they famously like to play with their words)
edit: “To Insure Promptness”, but apparently that’s just a backronym that someone made later… damn, i enjoyed that factoid, never should’ve checked it xD
wololooooo
yeh plus old should be specified probably… i got an x230 for this reason, changed 2 screens and both hdmi outs are dead (second one being on the dock)
very sad about that, it even has an easy access hdd drawer :(
but thank fuck specifically he has cos now it’s a brilliant piece of software xD
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) )
ah fair… we used dudette cos it’s funny but i get the point…
guess i never thought about it much cos i jumped on the chance to be encouraged to use all the sillier alternatives at work etc haha
can you explain how guys is gender neutral? or did i miss the /s?
you forgot: “who don’t pay taxes in the country they live in” :picard:
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
nice… so we need a github marketing campaign to fund the software that makes the world run? nice…