• schipelblorp@sh.itjust.works
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    2 个月前

    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

    • oyo@lemmy.zip
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      2 个月前

      I would never invest in someone who can’t spell their own name. Lucky for you, ai bros don’t give a shit about that.

  • BassTurd@lemmy.world
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    2 个月前

    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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      2 个月前

      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 个月前

        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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          2 个月前

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

          • Omgpwnies@lemmy.world
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            2 个月前

            Some do, others just charge for everything or charge for something that’s released for free elsewhere… Cults3d and Yeggi are bad for that from recent memory.

  • Wispy2891@lemmy.world
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    2 个月前

    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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      2 个月前

      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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        2 个月前

        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.

  • NGC2346@sh.itjust.works
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    2 个月前

    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 个月前

      Nah Nvidia’s 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.

        • squaresinger@lemmy.world
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          2 个月前

          For now.

          Nvidia has two massive problems.

          • They know that AI is a bubble. If the big AI companies go belly up, Nvidia loses all their revenue.
          • The big AI companies are working on DIYing their own AI chips. If they manage to, Nvidia loses all their revenue.

          That’s why they have been at work with local AI for a while. They publish their own open-weights models (Nemotron) and they build comparatively cheap local AI hardware (DGX Spark, RTX Spark).

          That way, when the whole AI bubble pops, they still have quite a bit of a foot in the door with customers.

          • billwashere@lemmy.world
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            2 个月前

            Yeah I think the growth is going to be in these little models that think big. Like the Qwen3.8-flash idea. Using little tricks to make a small model perform better than it should. Localized AI is going to scale much better than being dependent on giant resource hogging DCs. And god forbid someone figure out how to chain these things together in some sort of peer to peer network utilizing all that processor time that goes unused throughout the day, like some sort of AI@home setup. Pretty sure that’s how Skynet starts.

        • jj4211@lemmy.world
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          2 个月前

          While true, this same infrastructure is used by corporations that either feel they need the privacy of on premise model, or decided paying by the token is too expensive/unpredictable.

          NVidia would love every business to decide they need to have dedicated private gpu heavy infrastructure.

  • Dnb@lemmy.dbzer0.com
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    2 个月前

    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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      2 个月前

      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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        2 个月前

        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

  • Sabata@ani.social
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    2 个月前

    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.

      • TehWorld@lemmy.world
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        2 个月前

        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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          2 个月前

          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, generally private credit, 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.

          • pistcow@lemmy.world
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            2 个月前

            OK, sure, theyre selling shovels but theyre lending a bajillion dollars in shovels for equity in unprofitable companies and when the bubble bursts they’ll have no cash and pieces of paper in defunct companies. Unable to meet their operating costs they’ll die or be pieced off. You can’t run a company off of IOUs.

          • squaresinger@lemmy.world
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            2 个月前

            And their local AI push (Nemotron, DGI Spark, RTX Spark, Huggingface, …) is all done to diversify before the crash.

            Local AI is constantly getting better, both on server-grade hardware and on hardware regular users can actually own.

            In fact, for Nvidia it’s better to have a solid standing with consumer-grade local AI. If Anthropic, Google and OpenAI manage to DIY their own AI chips, then Nvidia will lose a large portion of their revenue within a day.

      • Rothe@piefed.social
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        2 个月前

        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.

  • leanleft@lemmy.ml
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    2 个月前

    i just read this: https://reddit.com/comments/1w01y1f

    With this move Nvidia is not only acquiring the HuggingFace platform, but they might also effectively acquire the copyright to the llama.cpp project, together with the entire team behind it.

    In February 2026 the llama.cpp team was employed by HF in order to continue working on llama.cpp and the ggml library.

    This includes:

    • Georgi Gerganov
    • Xuan-Son Nguyen
    • Aleksander Grygier
    • Victor Mustar
    • Lysandre
    • Julien Chaumond

    Now with the acquisition, llama.cpp’s future looks a lot less certain given Nvidia’s poor track record with open-source.

    This is still rather speculative at this stage, but it’s definitely possible for the llama.cpp project to change in the future: either by switching to a different license, or by having staff redirected to other projects within the larger company.

    Even when a project is open-source the copyright owner has complete control over it, and they can change licensing as they wish.

    This has happened before with projects like Redis, Minio, and others.

    Source:

    https://huggingface.co/blog/ggml-joins-hf

    Edit:

    The original announcement from Feb 2026 from Gerganov gives a few more details:

    https://github.com/ggml-org/llama.cpp/discussions/19759

  • GreenKnight23@lemmy.world
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    2 个月前

    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.

    • billwashere@lemmy.world
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      2 个月前

      Here’s the thing, AI isn’t going away. Even when the bubble bursts, which it will, it’s a useful tool that can do useful things. I also don’t think in its current form it’s as useful or “necessary“ as the major tech bros want us to believe. I’d much prefer smaller models running on my hardware than just being controlled by a handful of those tech bros. But NVidia buying one of the major players in the local AI scene worries the shit out of me.

      But AI is just a tool. It’s not good or evil. I can use a hammer to build a house or bash someone’s skull in. It’s not the tools fault either way.

      • GreenKnight23@lemmy.world
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        2 个月前

        it’s funny. all your talking points are the exact same as crypto and NFTs. how’d those work out again?

        oh? a grift you say? a vehicle to siphon wealth away from the masses you say? building a trust that only fascist régimes and criminals use?

        1000004522

        say it isn’t so!

  • rando@lemmy.ml
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    2 个月前

    What is logistics involved if models r just available on torrents, instead of central repo. Maybe validity of model is not possible?

    • Lovec741@lemmy.world
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      2 个月前

      I think you could just store the signatures centrally for validity, no need to store the whole models.

      • rando@lemmy.ml
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        2 个月前

        So if models r released for free / open weights. This should be achievable, is that correct?

        Is it simply: someone need to implement it?

        • pirateKaiser@sh.itjust.works
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          2 个月前

          Kind of. There’s also the ‘someone needs to find and start using it’ problem, which is doubly true for torrent sharing