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

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[-] 1rre@discuss.tchncs.de 2 points 1 month 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

[-] Buffalox@lemmy.world 5 points 1 month 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 4 points 1 month ago* (last edited 1 month 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

[-] Trainguyrom@reddthat.com 4 points 1 month 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

this post was submitted on 03 Nov 2024
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