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

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[-] Buffalox@lemmy.world 17 points 5 months ago* (last edited 5 months ago)

I've commented many times that Arc isn't competitive, at least not yet.
Although they were decent performers, they used twice the die size for similar performance compared to Nvidia and AMD, so Intel has probably sold them at very little profit.
Still I expected them to try harder this time, because the technologies to develop a good GPU, are strategically important in other areas too.
But maybe that's the reason Intel recently admitted they couldn't compete with Nvidia on high end AI?

[-] 1rre@discuss.tchncs.de 2 points 5 months 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 5 months 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 5 months ago* (last edited 5 months 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

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this post was submitted on 03 Nov 2024
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