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Taking Tokenization off the Host for Agentic LLM Serving

Siavashi, Mohammad et al.
arXiv (All) · Papers
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and-cluster-computingcomputation-and-languagedistributedmachine-learningparallelperformance
Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still be tokenized in full before the cache can even be consulted. Tokenization, a CPU stage long treated as negligible, becomes the largest part of time-to
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