“In 10 years, computers will be doing this a million times faster.” The head of Nvidia does not believe that there is a need to invest trillions of dollars in the production of chips for AI::Despite the fact that Nvidia is now almost the main beneficiary of the growing interest in AI, the head of the company, Jensen Huang, does not believe that

  • Buffalox@lemmy.world
    link
    fedilink
    English
    arrow-up
    0
    ·
    edit-2
    9 months ago

    Why does that make a difference? Compute for AI is build on the progress for compute first for GPU then for data center. They are similar in nature.
    Yes they have exceeded 2x for AI for a while, but that has been achieved through exploding cost, but even that won’t make a million times faster in 10 years possible.

    • ryannathans@aussie.zone
      link
      fedilink
      English
      arrow-up
      0
      ·
      9 months ago

      Building an ASIC for purpose built computation is significantly faster than generic gpu compute cores. Like when ASICs were built for bitcoin mining/sha256 and a little 5 watt usb device could outperform the best GPUs

      • frezik@midwest.social
        link
        fedilink
        English
        arrow-up
        0
        ·
        9 months ago

        It may be even more specialized than that. It might be a return to analog computers.

        Which isn’t going to work for Nvidia’s traditional products, either.