• Lojcs@lemm.ee
      link
      fedilink
      English
      arrow-up
      3
      arrow-down
      2
      ·
      4 months ago

      What kind of a website is that? Super slow and doesn’t work without web assembly. Do you really need that for a simple interface

      • Scott@sh.itjust.works
        link
        fedilink
        English
        arrow-up
        2
        ·
        4 months ago

        It’s not about their frontend, they are running custom LPUs which can process LLM tokens at 500/sec which is insanely impressive.

        For reference with a max size of 2k tokens, my dual xeon silver 4114 procs take 2-3 minutes.

        • Amaltheamannen@lemmy.ml
          link
          fedilink
          English
          arrow-up
          1
          ·
          4 months ago

          Isn’t it those that cost $2000 per 250mb of memory?? Meaning you’d about 350 to load any half decent model.

          • Scott@sh.itjust.works
            link
            fedilink
            English
            arrow-up
            2
            ·
            4 months ago

            Not sure how they are doing it, but it was actually $20k not $2k for 250mb of memory on the card. I suspect the models are probably cached in system memory.

        • Finadil@lemmy.world
          link
          fedilink
          English
          arrow-up
          1
          ·
          4 months ago

          That with a fp16 model? Don’t be scared to try even a 4 bit quantization, you’d be surprised at how little is lost and how much quicker it is.

        • Lojcs@lemm.ee
          link
          fedilink
          English
          arrow-up
          1
          ·
          4 months ago

          No I got what you meant, but that site is weird if it’s not doing anything on its own

  • AA5B@lemmy.world
    link
    fedilink
    English
    arrow-up
    2
    ·
    edit-2
    4 months ago

    When Apple shows their iPhone comparison they list number of processor cores of different types. one type of core is “neural engine”. However I’ve never seen specifics on how it works or how well it works. I wonder if it is similar