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Researchers run high-performing LLM on the energy needed to power a lightbulb

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Re: Researchers run high-performing LLM on the energy needed to power a lightbulb

#71
post #43

Earlier quoted context omitted.

Yeah... They are using a single-core 13W measurement to project out. For a 64x parallelization - no mention of any overhead due to parallelization or power needs of the supporting hardware. This is a key quote for me (page 12 of the PDF): > The 1.3B parameter model, where L = 24 and d = 2048, has a projected runtime of 42ms, and a throughput of 23.8 tokens per second. e.g. 64 x 13.67W = 874 Watts to run a 1.3B model…

When you multiply by 64 you also get 64 times more tokens per second!! Your math is wrong.

When you multiply by 64 you also get 64 times more tokens per second!! Your math is wrong.

Re: Researchers run high-performing LLM on the energy needed to power a lightbulb

#72
post #43

Earlier quoted context omitted.

Yeah... They are using a single-core 13W measurement to project out. For a 64x parallelization - no mention of any overhead due to parallelization or power needs of the supporting hardware. This is a key quote for me (page 12 of the PDF): > The 1.3B parameter model, where L = 24 and d = 2048, has a projected runtime of 42ms, and a throughput of 23.8 tokens per second. e.g. 64 x 13.67W = 874 Watts to run a 1.3B model…

When you multiply by 64 you also get 64 times more tokens per second!! Your math is wrong.

That's their math, the 23.8t/s is already the 64x but they didn't 64x the other stats.
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