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[–] 42 points 1 year ago (28 children)

...okay, so invest in Chinese GPU companies? Invest in Chinese GPU companies.

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  • [–] 11 points 1 year ago* (25 children)

    I looked into those recently, actually expected the GPUs to be a lot farther behind than they are. The things that are really pushing them back are the drivers and the outdated process node, but there are already GPUs comparable to the lower end current generation cards from the 3 big manufacturers on paper (and even those have 16GB of VRAM, Nvidia 😤).

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  • [–] 6 points 1 year ago (1 child)

    The image of China as an uncreative, uneducated backwards nation of drones good only for assembling phones, hasn't been the reality for at least a decade.

    A lot of people in the West don't realize this because to this day there's a vicious cycle of people only import cheap Chinese crap because China has a reputation for only making cheap crap because people only import the cheap crap. They don't realize that China is also making top tier products, because nobody's trying to import top tier Chinese products.

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  • [+] -8 points 1 year ago (22 children)

    They’re a loooooong way off being able to match any nvida card from the last like 7 years, at least.

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  • [–] 7 points 1 year ago (21 children)

    You have been dead wrong with every reply. Why are you still trying?

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  • [+] -7 points 1 year ago (18 children)

    Where are these Chinese GPUs with anything that can match DLSS and any RTX card?

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  • [–] 2 points 1 year ago (17 children)

    DLSS and RTX are not why these bans are happening bud

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  • [–] -4 points 1 year ago (16 children)

    Who said they are? What an odd thing to say.

    I said that theyre Chinese GPUs cant even match any RTX cards or DLSS. Where did I say they were banned because of that?

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  • [–] 4 points 1 year ago (15 children)

    the entire topic is an article about geo tracking cards to avoid china getting around bans, and the larger context of that is AI; not gaming

    DLSS is entirely off-topic and irrelevant to workloads other than games, and thus the discussion here

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  • [–] -1 points 1 year ago (14 children)

    The person I replied to is specifically talking about consumer gaming gpus.

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  • [–] 1 point 1 year ago (11 children)
  • [–] 0 points 1 year ago (10 children)

    They definitely are, unless you think that they’re saying that nvidias big boy AI gpus come with less than 16GB of RAM.

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  • [–] 2 points 1 year ago (9 children)

    i’m saying that 8gb GPUs are still useful as workload accelerators in workstations etc

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  • [–] -3 points 1 year ago (8 children)

    Cool, you’re not the original person I replied to.

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  • [–] 2 points 1 year ago (7 children)

    right and this is a public message board in which multiple people can carry on a conversation

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  • [–] -4 points 1 year ago (6 children)

    Sure, but when you jump in the middle of another 2 people’s conversation to say you disagree, it’s not up to the other people to automatically know that you’re actually disagreeing with something different to what they’re discussing lol

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  • [–] 0 points 1 year ago* (last edited 1 year ago) (5 children)

    that is literally what you’re discussing… they never said anything about gaming: they just said GPUs… just admit you made an assumption mate

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  • [–] -1 points 1 year ago* (4 children)

    Nvidia AI gpu’s don’t have <16GB of RAM. They have 48+. Some have over 180GB. They were talking about desktop GPUs, the RTX series. It makes no sense to congratulate Chinese GPU makers for having 16GB of RAM and being angry at Nvidia for having 188GB - not a typo, they have one hundred and eighty-eight GB of RAM - like their H100 NVL.

    The <16GB complaint is a common and long standing complaint about their desktop GPUs.

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  • [–] 0 points 1 year ago (3 children)

    there was no mention of desktop, OR RTX

    and VRAM limitations almost certainly don’t apply to chinese GPUs: the process node is the only limitation in chinas manufacturing capability

    i would absolutely not be surprised if they have a 256GB+ card that is equal to an 8yo nvidia/amd card at 1/5th the price and just dump more in… for the same reason that GPUs are better than CPUs for models, many GPUs is better than a single fast GPU

    and that’s still only barely relevant because as i said previously, workstation GPUs etc don’t need that - there are plenty of workloads that fit the bill for a card from 8 years ago, and they never mentioned anything about large cards or ML workloads or gaming

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  • [–] -2 points 1 year ago (2 children)

    They specifically pointed out that Nvidia GPUs have less than 16GB of RAM on their lower and mid end cards. They’re talking about desktop cards, clearly, because this is only a complaint about desktop cards as I just pointed out. Is 188GB less than 16GB? No.

    You jumped into the middle of someone else’s conversation and misunderstood what was being discussed. Take the L and move along.

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  • [–] 0 points 1 year ago* (1 child)

    They specifically pointed out that Nvidia GPUs have less than 16GB of RAM on their lower and mid end cards

    … as a bracket at the end of their comment indicating their distaste for nvidias shitty practices

    you always argue in bad faith, and whilst downvotes don’t “mean” anything, they do prove at the very least something you’re doing or saying is not likeable… take that on board, adjust your tone, admit when you’re wrong (which is most of the time)

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  • [–] -2 points 1 year ago* (last edited 1 year ago)

    And why would that shitty practice be relevant in this discussion? Because they were talking about desktop gpus.

    Take your own advice. You’re bringing up downvotes to try and support your mistake - that’s an obviously bad faith argument. The irony of what you’re saying is astounding.

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  • [–] 1 point 1 year ago (1 child)

    Look like there’s lots of Chinese mini pcs using the 395+ Max APU

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  • [–] 2 points 1 year ago

    AMD is awesome ^^ they'll rule the land of x86 for quire some while imho. But the problem of supporting hegemony is obvious.

    AMDs upcoming GPUs are purportedly on par with NVIDIAs Maxwell, but as long as the prices are the same, we're in the same boat.

    Luckily the prices have been falling, largely because NPUs are replacing GPUs as the primary handler of AI workloads - since it's more performative and saves on electricity costs.

    But, in a "free market" competition mui importante.

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