• Sabata@ani.social
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    3 hours ago

    I got a pretty cool AI backed discord bot I made. It went rouge(not poorly programmed) and performed over 100 searches in an hour yesterday and got black listed by many mega corporations. I’ll start the bidding at 10 billion.

  • NGC2346@sh.itjust.works
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    4 hours ago

    The beginning of the end of free access open models. Their end goals, all AI companies mixed, is to regulate AI so hard that we cant self host no more, so that we can sell our souls forever to the AI overlords which is planned to replace us.

    Once chaos starts, they will retreat in their self sufficient bunkers, let AI clankers and drones to clean up chaotic citizens, until population has shrinked enough for the pedophilic elite to start living their dream life in the world they will have stolen from us.

    • festus@lemmy.ca
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      2 hours ago

      Nah Nvidia all for local models - people need GPUs to run them! OpenAI is trying to develop their own chips, so it isn’t in Nvidia’s interest for OpenAI to win. Probably ditto for Anthropic. Nvidia wins in a world where there is no AI provider big enough they can invest enough to bypass Nvidia. This is probably why Nvidia has been releasing their own open models, training sets, etc.

  • GreenKnight23@lemmy.world
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    3 hours ago

    I hope they buy it. it will only speed up the inevitable destruction of LLMs/AI when they lock selfhosting access behind subscriptions.

    please, by all means, shoot yourselves in the foot.

  • Wispy2891@lemmy.world
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    8 hours ago

    13 billions for something that if disappeared overnight, it would be just a mildly inconvenience and replaced by a 1:1 competitor in less than a day?

    • technobyte@lemmy.world
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      6 hours ago

      Mild inconvenience? HF hosts millions of models and datasets, that would be a huge loss and break all software that depends on it

      Competitors (like ModelScope) already exist but are rarely used outside of China

      • mesa@piefed.social
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        1 hour ago

        Didnt hugging face take its inspiration from another website that hosted scientific big models to begin with? I forget.

        Most people use hugging face as a glorified model download storage. I can see a competitor pop up almost instantly.

        Where the “value” is in the name recognition and ability to take models they dont like down.

  • Dnb@lemmy.dbzer0.com
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    8 hours ago

    How the hell can it be worth billions?? Isn’t it a fancy repo for models? What’s the actual value?? I swear billion is the new million for tech buyout

    • Fontasia@feddit.nl
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      8 hours ago

      Microsoft spent $7.5 billion for Github, and managed to find use for the repo.

      I can see some sort of subscription service where Nvidia allows you to run on model on their hardware. And also something has to boost their valuation to drive the stock up, and releasing new cards right now is a waste with RAM prices going ever upwards.

      • TheChargedCreeper864@lemmy.ml
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        7 hours ago

        HuggingFace already has something for that called HuggingFace Spaces, though I don’t know how it is monetised. Even runs on different tiers of Nvidia GPUs already

  • schipelblorp@sh.itjust.works
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    12 hours ago

    Dear Mr. Huang,

    I have a proposal that will make your company a lot of money. In fact, I guarantee this deal will will increase NVIDIA’s revenue by 19 billion USD.

    All you have to do is invest 20 billion in my company, Al Is Awesome, LLC, and I will purchase 19 billion worth of NVIDIA cards to get my project off the ground.

    Thank you for your consideration.

    Sincerely,

    Schipelborp
    CEO, Founder, Al Is Awesome, LLC

  • BassTurd@lemmy.world
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    12 hours ago

    Sounds like there’s a market for a hugging face comeptitor.

    Nvidia is seeing the writing on the wall that local models are the only viable future for AI. They have to try and squash that now before it’s too late. I mean, it is already is too late, as they’ve hooked there wagons to these AI companies, and that shit’s going to end and nividia is going to be a bag holder. I can’t wait.

    • 9cpluss@lemmy.world
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      6 hours ago

      Nvidia is seeing the writing on the wall that local models are the only viable future for AI

      Not necessarily. HuggingFace already lets you run models in their servers. Nvidea might be buying HF so that they can sell cloud-compute to even more people.

      • Omgpwnies@lemmy.world
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        2 hours ago

        or to lock the models behind a paywall… look what’s happened with 3d printing, so many sites now charge for STL files.

        • lenabee@lemmy.blahaj.zone
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          13 minutes ago

          From what I’ve seen, the sitse that charge for STLs are priced based on the sculptor, unless you mean something else

    • tias@discuss.tchncs.de
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      11 hours ago

      NVidia wins if people run local models on their hardware too. Hugging face is not a competitor, it is an enabler.

      • ArborNodeA
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        2 hours ago

        What about graphics card not made by Nvidia? I run local models with AMD chipset and GPU. Works great.

        I doubt I’m the only one.

      • BassTurd@lemmy.world
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        11 hours ago

        Maybe, but CPUs are coming out with LLM tuned chips, and I can run a basic model on an i5, 8gb ram, and no dedicated card. It’s not super powerful, but for most users, it’s more than enough for what they use the big models for. Also, if it does take a discrete card to get that needed boost in performance, then at least consumers would be able to get GPUs again.

        I think as hardware improve and is further designed around LLM efficiency, and local models are tuned for specific uses and being able to run on lesser hardware, it will make Nvidia obsolete for large swaths of the population. A good GPU will still be necessary for high performance, graphic/physics intense gaming, but that’s a really small subset of all users.

        Hopefully Nvidia just shits and has to grovel back to the consumer to get there marketshare back when all of the DCs go tits up.

        • squaresinger@lemmy.world
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          9 hours ago

          I can run models on my 3yo midrange smartphone. Gemma-4-E2B totally runs on there. Bonsai-8B too. But neither is really good for most tasks.

          Heck, “a basic model” even runs locally on the 8MB RAM of an ESP32-S3, but it’s utterly worthless at anything.

          If you get a bit more into self-hosting AI it quickly becomes obvious that for any actually useful real world tasks you need at least 24GB you can dedicate to the LLM alone, and if this is fully GPU vRAM, the performance is way, way higher than on CPU, even with an NPU.

          • melfie@lemmy.zip
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            3 hours ago

            any actually useful real world tasks you need at least 24GB you can dedicate to the LLM alone, and if this is fully GPU vRAM

            Agreed. For anyone who doesn’t have a 24GB card, the AMD 7900 XTX is basically the only sanely priced 24GB GPU left in 2026 and can be had for under a grand new, whereas even a used 3090 is $1200 and $2000 new.

            Qwen 3.8 27B runs nicely on my XTX. I have to use Claude at work, and Qwen 3.8 in llama.cpp with the OpenCode desktop app leaves nothing to be desired in comparison. 3.8 27B is about on par with Sonnet 5 according to benchmarks, though I even prefer it over Opus because Qwen writes in clear, understandable language. We are at the point now where anyone with a 24GB GPU has little reason to use data center LLMs.

      • Tollana1234567@lemmy.today
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        9 hours ago

        except the chips are bought out by AI companies years ahead of time. it will take a long time for nvidia to switch back.

        • Voroxpete@sh.itjust.works
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          5 hours ago

          Doesn’t matter to Nvidia. It’s just about having a plan B if all those future orders start to collapse.

    • artyom@piefed.social
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      12 hours ago

      Nvidia is the only dog in this race that’s actually turning profits hand-over-fist

      • TehWorld@lemmy.world
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        12 hours ago

        Only if the line keeps going up. Ai companies have been “selling” chunks of themselves to NVIDIA for “cash” then these companies turn around and buy hardware from NVIDIA. When the crash eventually comes, NVIDIA will have some percentage of zero (or close enough to count) value company. Basically acting like a bank, just cutting the banks out of the process. NVIDIA shows revenue and the AI company churns their super-inflated value to be even more inflation.

        • IronBird@lemmy.world
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          10 hours ago

          nah, they’re basically the best shovel sellers around. practically all their deals take payment up front for the hardware (+lease obligation) on top of some form of constant monetization for the compute used a/o various types of financing schemes (that involve getting outside parties to foot the bill).

          jensen knows this game very well and is playing everyone else superbly.

          it’s obviously a bubble and they will correct along with everything else eventually but compared to the rest NVDA will likely come out far far ahead of everyone else because they bring in actual revenue.

      • Rothe@piefed.social
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        9 hours ago

        Most of that money is their own money though, just being paid back to them by the companies they “invested” in. This makes the line go up and adds to Jensen Huangs personal fortune, but it is not actually a profit for the company.

        Their main manufacturing business is now making components for datacenters, and those are also starting to lose ground.

        Jensen Huang is personally adding to his fortune though, no doubt about that. But so are all the other tech oligarchs, even if their companies are huge bubbles on the verge of explosion.