Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures
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arXiv:2608.25096v1 Announce Type: new Abstract: The growing adoption of large language models (LLMs) has raised increasing concerns about the energy consumption and environmental impact of inference. This paper presents a systematic empirical study of decode-phase energy consumption across represen…
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- 2026-08-27 04:00 · arXiv cs.LG
Understanding the Energy Scaling of Large Language Model Inference Across Context Lengths and Attention Architectures