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Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets

Ma, Bole et al.
arXiv (All) · Papers
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and-cluster-computingartificial-intelligencedistributedmachine-learningparallelperformance
Large language model serving is limited by facility power. Energy per token determines how many tokens a datacenter can serve, while a latency target bounds how quickly each user receives them. During decode, every weight is read from memory for every generated token. Batching amortizes this read ac
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