• Scott
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    144 months ago

    I’m just trying to get my hands on some faster hardware, https://groq.com has been able to do some crazy shit with their 500/tokens/sec on their LPUs

    • @[email protected]
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      4 months ago

      That is insanely fast! I figured we’d be getting “AI cards” at some point soon.

    • @[email protected]
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      14 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
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        24 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.

        • @[email protected]
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          14 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.

        • @[email protected]
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          14 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
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            24 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.

  • @[email protected]
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    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