“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 - eviltoast
“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 - Gadget Tendency
gadgettendency.com
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

“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

  • BetaDoggo_@lemmy.worldEnglish
    331·
    9 months ago

    This isn’t necessarily about just hardware. Current ML architectures and inference engines are far from being at peak efficiency. Just last year we saw 20x speedups for llm inference on some hardware. “a million times” is obviously hyperpole though.

    • NegativeInf@lemmy.worldEnglish
      81·
      9 months ago

      Literally reading preprint papers daily on more efficient implementations of self attention approximations.