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Characterization of Request and Token Energy Costs for LLM Inference Workloads on GPU Platforms
Large language model (LLM) inference serving is priced by tokens, but GPU energy is consumed over inference windows. This accounting mismatch makes token-normalized metrics incomplete, since average output-token energy can decrease even when total request energy increases. We characterize this behav
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