Summary: Meta, led by CEO Mark Zuckerberg, is investing billions in Nvidia’s H100 graphics cards to build a massive compute infrastructure for AI research and projects. By end of 2024, Meta aims to have 350,000 of these GPUs, with total expenditures potentially reaching $9 billion. This move is part of Meta’s focus on developing artificial general intelligence (AGI), competing with firms like OpenAI and Google’s DeepMind. The company’s AI and computing investments are a key part of its 2024 budget, emphasizing AI as their largest investment area.

  • FaceDeer@kbin.social
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    10 months ago

    Six months from now: “damn, we’re way behind Meta on AI. We should have spent billions six months ago, it’s going to cost way more to catch up.”

    • Rapidcreek@lemmy.world
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      10 months ago

      Chips evolve. By the time a billion dollar contract is fulfilled, they are two iterations behind.

      • wewbull@feddit.uk
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        10 months ago

        Pretty sure they’ll be given insight into the roadmap for that price, and be able to place speculative orders on upcoming generations.

          • wewbull@feddit.uk
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            10 months ago

            Of course they do, but my point was that I doubt Meta is locked into this generation.

              • wewbull@feddit.uk
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                10 months ago

                “spend billions” does not equal “hand over cash and take home GPUs”. It’ll mean a contract worth that amount with delivery terms defined over time. Even over the course of a year there’s likely to be newer product than Lovelace.

                • Rapidcreek@lemmy.world
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                  10 months ago

                  When you get product you pay for it. Spending means paying for it. You may have a contract for future product, but you don’t pay for the future product in advance as SOX rules kick in. Commonly, a chip development cycle can be at least 10 months.