• @[email protected]
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      171 year ago

      Given the current inflation rates and by the time that card is released, $2600 is probably going to be the price of the 5070.

      • @Infernal_pizza
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        111 year ago

        To simplify things for the customer Nvidia will simply use the product name as the price

      • @[email protected]
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        71 year ago

        It won’t matter, there won’t be any cards available to buy anyway because 97% of their silicon will be going to AI accelerators to make CEO’s richer.

        • @[email protected]
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          61 year ago

          Because useful tools that generate income are more valuable than things that make games look more better.

          AI is what’s justifying pumping over $7bn into R&D per year, which drives improvements to gaming cards too.

          Every card they sell makes a CEO richer, among a huge swathe of other effects.

          • @[email protected]
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            31 year ago

            Of course they are valuable. But corporations will always prioritize that which generates value for themselves.

            What good are those massive improvements to gaming cards when GPU costs spiral into the multiple thousands of dollars and become completely unavailable to 98% of gamers? 'Cause institutional buyers have no qualms dropping $20k per card, and that will inflate the market to an insane degree. Jensen knows this and will happily kick individual consumers right into the firepit.

          • @[email protected]
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            11 year ago

            “we shouldn’t be happy we should make people that slow down innovation richer cause… uhh they have a monopoly”

            • @[email protected]
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              11 year ago

              Huh? They don’t have a monopoly in any space, and have significant competitors. And I don’t really see how they are slowing down innovation. I think it’s fair to say that Nvidia are investing significanly in R&D, and is driving innovation more than anyone else in the industry for the moment.

  • @FooBarrington
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    51 year ago

    24GB to 32GB of VRAM? That’s highly disappointing. I’d have expected a bigger increase for AI workloads.

  • @the_q
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    10 months ago

    deleted by creator