Energy efficiency of locally deployed LLMs: a preliminary quantitative GPU power benchmark on consumer hardware
Read the original at arxiv.org→arXiv:2608.00008v1 Announce Type: new Abstract: The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, the energy costs on...
Original headline: "Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware"
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- Aug 4, 04:00 UTC arXiv cs.AI lead source Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware