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Daniel Lemire x.com

What should be obvious is that inference, running a large language model, is the part that has to be cheap. Most of our hardware was not designed for that. LLM inference is limited by bandwidth. You do a great many matrix-vector multiplications against a huge weight matrix, and you barely reuse those weights. It is closer to streaming a video than to running a simulation or drawing a scene in a game. Graphics processors from Nvidia and others were built for something else. They pileed compute first, then bolted on high-bandwidth memory. It is expensive. An obvious answer is to invert the desi…

LLMsreusematrix

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