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Nvidia To Invest $100 Billion in OpenAI (nvidia.com) 26

Nvidia will invest up to $100 billion in OpenAI as the AI lab builds data centers requiring 10 gigawatts of power capacity. The 10-gigawatt deployment equals 4 to 5 million GPUs -- the same number Nvidia will ship globally this year. Building one gigawatt of data center capacity costs $50 to $60 billion, including approximately $35 billion for Nvidia chips and systems. The first phase begins in the second half of 2026 using Nvidia's next-generation Vera Rubin systems.

The investment adds Nvidia to OpenAI's investor roster alongside Microsoft, SoftBank, and Thrive Capital at a $500 billion valuation. Nvidia CEO Jensen Huang described the investment as "additive to everything that's been announced and contracted."

Nvidia To Invest $100 Billion in OpenAI

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  • I get the unpleasant impression that we are doing a corporate reenactment of that period in European history where basically everyone was ruled by Habsburgs who were incestuous and incompetent in equal measure.
    • by DarkOx ( 621550 )

      Not sure about all that but to me this might be the sell signal for NVIDA.

      Making direct investments in your biggest customers when your product has the higher entry barriers, is always a little suspect in my book. If you believe that much in what they are doing why not build your own business unit?

      Obviously there are very real and very good reasons, but as an outsider I can't distinguish those motivations from, I am buying into them so I can protect market share, make the core volume continue to look great

      • I can see the argument that Nvidia has no obvious advantage in LLMs that would make them want to set up their own operation; it's basically everything else about the situation that would make me jumpy if I had bet on Nvidia.

        "Investing $100 billion in OpenAI's spend $100 billion on Nvidia stuff initiative" sounds, at worst, like a slightly more legal version of the trick where you shuffle stock around between business units or stuff the channel and book that as sales because you suspect that your real sal
    • I get the unpleasant impression that we are doing a corporate reenactment of that period in European history where basically everyone was ruled by Habsburgs who were incestuous and incompetent in equal measure.

      Nah, it's simpler than that. This is just good old fashioned gaming the stock market.
      - Announce a big project or big investment that makes people think your company is doing great things
      - Stock price goes up
      - Profit!
      - A year later, people have forgotten that you never actually built the big project you announced
      - Lather, Rinse, Repeat

    • Incompetence would eventually collapse. These men aren't stupid they're evil.

      AI has the potential to replace trillions of dollars worth of employees.

      We have given basically unlimited money to corporations and about 2,000 people on the planet. So throwing around 100 billion dollars is nothing to them. It's roughly equivalent to you putting 20 bucks on a horse race. Probably less because you could have bought some pizza with that.

      Basically everyone is racing to being control of this tech because w
  • by liqu1d ( 4349325 ) on Monday September 22, 2025 @01:09PM (#65676082)
    Is this the part where we pump up the bubble?
    • Oh yes. When Nvidia is paying $2 to get you to buy $1 of their chips it's definitely a bubble.

      Buy the way, ask AI how many record high closes has the S&P 500 set this year and write it down. The repeat the question later today, then a couple times tomorrow, and so on. This is exactly the sort of thing AI should be good at, but instead it spits out random numbers so far between 2 and 29.

       

      • Oh yes. When Nvidia is paying $2 to get you to buy $1 of their chips it's definitely a bubble.

        Back in the late 90's, Lucent was "loaning" X dollars to big telecoms to buy X dollars worth of equipment. This giving away of equipment had the intended effect of propping up the Lucent stock price. Well, until the ruse was discovered, and the Lucent stock almost became worthless.

        What's the difference between the Lucent scandal and what Nvidia is doing? Well, it depends on the accounting. Is Nvidia getting ownership shares of OpenAI? Does Nvidia get to book sales from all these GPUs going to OpenAI?

  • Sounds like that recent deal between Oracle and OpenAI where the latter promised to spend $300B on cloud resources from the former, starting conveniently in 2027 which is far enough down the road that both sides can claim "markets shifted" when accused of fraud by Oracle shareholders. OpenAI, of course, doesn't have anywhere near that much cash on hand.

    Nvidia is sitting on $56B in cash. This smells like the same deal: keep propping up OpenAI with meaningless commitments to keep the AI bubble going.

    • Salesforce fired 4000 customer service reps using llms.

      That's almost half their customer service reps.

      Like a lot of people I got my start decades ago resetting people's passwords. From there I can work my way up.

      It's debatable how much productivity programmers are getting out of AI but it does seem like it's quite a bit anecdotally. But even without that entry level customer service employment is down substantially.

      And remember those people don't just keel over and die. Eventually I need it
      • Maybe, I hear stories of programmer's speed being boosted enourmously by ai. I never actually see their work or their apps being published though. In fact there's a suspicious lack of real evidence to me.

        I'm a programmer and I get about the same boost from AI as I would have gotten if someone made a really good Stack Overflow search engine - which is to say not a lot. Yesterday I was working on some UI stuff I didn't know how to do. I could have asked AI about it, I could have gotten ai to write it for me a

        • The programmer would use it for implementing common algorithms and fortran. Stuff you would normally have to do himself the AI just did for him. Absolutely nothing he couldn't do but it would take some time and the AI just did it instantly.

          They've got a couple other articles about it too that was the one that stuck with me because it was very specific.

          It's all about productivity. If you have a programmer that has to spend two hours a day on code that can be written by a machine and you have eight pr
  • ChatGPT has great brand recognition but Grok is better at almost all tasks at this point, and ChatGPT-5 was released into an environment where it was still second best behind Grok 4 in almost all tests and measures. Nvidia is spending more money than it took to create Grok from start to finish as an investment into ChatGPT. I wonder how much equity they are actually going to get? It better be well above 50% to make it worthwhile for Nvidia.
    • Your analysis forgets one very important point: before someone signs paperwork to give you $100B, they probably want to see what you haven't released yet, and what your roadmap looks like.

      Nvidia doesn't want to be one of many companies selling flawed AI models, and starting up their own effort to compete with their own customers is very stupid and a very good way for them to stop being your customers.

      They want to be the company selling hardware to the companies selling flawed AI models. Being one step remo

  • I guess now MS will have to start playing catch-up with the big boys!

  • There are certain purchases that don't seem to make a lot of sense, like Google's overvalued purchase of Wix, or CBS' purchase of Bari Weiss' propaganda outlet that no one cares about. This feels like one of those
  • I mean, Boeing invests in airlines. Don't they ?

    Shurely Shell invests heavily in trucking companies ?

    Oracle must own half of Netflix ? No ?

    Burst, baby, burst !
  • What happened:
    - the NASDAQ composite fell 78% from its peak by October 2002
    - the S&P indexes rose, indicating a flight to blue chips
    - In the aftermath, telecommunications companies had a great deal of overcapacity as many Internet business clients went bust
    - a majority of the dot-coms had ceased trading, after having burnt through their venture capital and IPO capital, often without ever making a profit
    - interest rates started to shoot up

    Replace a few names, and you know what's about to happen.
    You can l

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