• Addv4@lemmy.world
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    24 hours ago

    It’s mostly when you’re trying to optimize for power on a non standard distro. By default, they’re kinda a power hog but you can sorta turn off the gpu when not in use, it’s just fininky because Nvidia doesn’t want open source drivers that can go that low level. Thankfully don’t have to worry about it anymore after getting a non-Nvidia laptop for my latest daily.

    • TabbsTheBat@pawb.social
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      24 hours ago

      Funny thing is… I was gonna get my PC with an AMD card, but because the one I wanted was out of stock I got upgraded (depending on how you want to look at it) to an nvidia one :3

      I may go AMD next time I swap it, but as I’ve not had any problems as of yet, im not in a major rush

      • Addv4@lemmy.world
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        23 hours ago

        My advice is to generally opt for integrated on mobile, unless you absolutely need them. I did on my last computer (training ml models can often be sped up with Cuda cores), but the trade off was it breaking three times when updating my Nvidia drivers (had to chroot in an manually update, huge pain to deal with), so I specifically went away from Nvidia drivers on my latest laptop.