Panther Lake and Nova Lake laptops will return to traditional RAM sticks

  • 1rre@discuss.tchncs.de
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    2 days ago

    Yeah true, plus I bought my a770 at pretty much half price during the whole driver issues and so eventually got a 3070 performing card for like $250, which is an insane deal for me but no way intel made anything on it after all the rnd and production costs

    The main reason Intel can’t compete is the fact CUDA is both proprietary and the industry standard, if you want to use a library you have to translate it yourself which is kind of inconvenient and no datacentre is going to go for that

    • Trainguyrom@reddthat.com
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      1 day ago

      The main reason Intel can’t compete is the fact CUDA is both proprietary and the industry standard

      Funnily enough this is actually changing because of the AI boom. Would-be buyers can’t get Nvidia AI cards so they’re buying AMD and Intel and reworking their stacks as needed. It helps that there’s also translation layers available now too which translate CUDA and other otherwise vebdor-specific stuff to the open protocols supported by Intel and AMD

    • Buffalox@lemmy.world
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      2 days ago

      The main reason Intel can’t compete is the fact CUDA is both proprietary and the industry standard

      AFAIK the AMD stack is open source, I’d hoped they’d collaborate on that.

      • 1rre@discuss.tchncs.de
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        2 days ago

        I think intel support it (or at least a translation layer) but there’s no motivation for Nvidia to standardise to something open-source as the status quo works pretty well