I'm sorry, little one

Comments

• henfredemars@infosec.pub ⁨10⁩ ⁨months⁩ ago

  Forget the board – can your whimpy-ass power supply handle the load?

  source

  • RandomlyRight@sh.itjust.works ⁨10⁩ ⁨months⁩ ago

    No :(

    I have a separate gaming PC and am considering to just use that hardware for my NAS and create a VM for gaming

    source

    • saltesc@lemmy.world ⁨10⁩ ⁨months⁩ ago

      You have put yourself into this black hole lol.

      “I might just get a- Oh god my gaming rig is now my secondary PC and my credit card hurts. How did this happen?!”

      3090s snicker evily in the background

      source

      • -> View More Comments
    • MentalEdge@sopuli.xyz ⁨10⁩ ⁨months⁩ ago

      Didn’t someone just make a post about a game stream server that would allow multi gamers to use the same machine? Not with VMs, but multiple users and virtual displays.

      You’d connect to it via any moonlight client, and it creates the environment for you to use the machine for whatever.

      source

      • -> View More Comments
    • pleb_maximus@feddit.de ⁨10⁩ ⁨months⁩ ago

      Look at it this way: not only can you run your own AI stuff yourself, you can have your own cloud gaming too!

      source
• MotoAsh@lemmy.world ⁨10⁩ ⁨months⁩ ago

  Why use commercial graphics accelerators to run a highly limited “AI”-unique work set? There are specific cards made to accelerate machine learning things that are highly potent with far less power draw than 3090’s.

  source

  • ShadowRam@fedia.io ⁨10⁩ ⁨months⁩ ago

    Well yeah, but 10x the price....

    source

    • MotoAsh@lemmy.world ⁨10⁩ ⁨months⁩ ago

      Not if it’s for inference only. What do you think the “AI acceledators” they’re putting in phones now are?

      source

      • -> View More Comments
  • mergingapples@lemmy.world ⁨10⁩ ⁨months⁩ ago

    Because those specific cards are fuckloads more expensive.

    source
  • d00ery@lemmy.world ⁨10⁩ ⁨months⁩ ago

    What are you recommending, I’d be interested in something that’s similar in price to 3090.

    source
  • Diabolo96@lemmy.dbzer0.com ⁨10⁩ ⁨months⁩ ago

    It’s for inference, not training.

    source

    • MotoAsh@lemmy.world ⁨10⁩ ⁨months⁩ ago

      Even better, because those are cheap as hell compared to 3090s.

      source

      • -> View More Comments
  • VeganCheesecake@lemmy.blahaj.zone ⁨10⁩ ⁨months⁩ ago

    Would you link one? Because the only things I know of are the small coral accelerators that aren’t really comparable, and specialised data centre stuff you need to request quotes for to even get a price, from companies that probably aren’t much interested in seeing one direct to customer.

    source
  • GBU_28@lemm.ee ⁨10⁩ ⁨months⁩ ago

    Huh?

    Stuff like llama.cpp really wants a GPU, a 3090 is a great place to start.

    source