• snaggen@programming.dev
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      8 months ago

      For Linux it is a huge difference. AMD and Intel have great open source drivers, while Nvidia have binary drivers with a lot of issues.

      • pearsaltchocolatebar@discuss.online
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        8 months ago

        I find this strange, because I had nothing but trouble getting my R9 390 working with any Linux distro, but my RTX 3060 hasn’t given me a single issue on like 6 different distros.

            • GarlicToast@programming.dev
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              8 months ago

              Nvidia works flawlessly most of the time on desktops. The suckyness of their drivers shows its ugly head mostly on laptops.

              And it’s bad, crash your computer bad some times.

                • GarlicToast@programming.dev
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                  8 months ago

                  Three laptops ago it mostly worked with FOSS solutions around the driver. Nvidia mostly killed them, and intreduced their own unstable solution. As far as I care, if they won’t fix it before my hardware dies, the next laptop will have a GPU by another manufacture.

      • PersonalDevKit@aussie.zone
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        8 months ago

        And for AI at home? Since this is a story about AI DataCenters

        I want to get an AMD but the integration of Nvidia GPUs for processing ML/AI stuff is much higher. So if I want to mess with running AI at home I only have 1 choice.

        I hope AMD release something that competes on that front, and can still play games on the weekend, but currently, he is right there is no competition

        • Fisch@lemmy.ml
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          8 months ago

          I run AI stuff just fine on my AMD GPU using HIP. At least LLMs and Stable Diffusion work perfectly fine but that’s the only things I’ve tested.