308
Nvidia has been in talks to acquire Hugging Face for more than $13 billion (www.businessinsider.com)
submitted 3 days ago* by to c/technology@lemmy.world
72 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] 18 points 3 days ago (3 children)

Nvidia doesn’t consider consumer markets to be worth paying attention to anymore.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 6 child comments
    •
  • [–] 5 points 2 days ago (1 child)

    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.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •
  • [–] 2 points 2 days ago

    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.

  • permalink
  • fedilink
  • source
  • parent
  • [–] 3 points 2 days ago

    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.

  • permalink
  • fedilink
  • source
  • parent