this post was submitted on 10 Jan 2025
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LocalLLaMA
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Community to discuss about LLaMA, the large language model created by Meta AI.
This is intended to be a replacement for r/LocalLLaMA on Reddit.
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The new $3000 NVidia Digit has 128 GB of fast RAM in an Apple-M4-like unified-memory configuration, reportedly. NVidia claims it is twice as fast as an apple stack at least at inference. Four of these stacked can run a 405B model, again according to NVidia.
In my case I want the graphics power of an GPU and VRAM for other purposes as well. So I'd rather buy a graphics card. But regarding a 90B model, I do wonder if it is possible with two A6000 at 64 GB and a 3 bit quant.
Huh so basicly sidestepping the gpu issue entirly and essentially just using some other special piece of silicon with fast (but conventional ram). I still dont understand why u cant distribute a large llm over many different processors each holding a section of the parameters in memory.
Because each weight in a layer influences each weight in the next layer, which means the bandwidth requirements are enormous and regular networking solutions are insufficient for that.