The vLLM team’s AgentX article explores serving infrastructure for multi-round agent workloads. Context reuse, parallelism, and the split between prefill and decoding become important when a task repeatedly sends overlapping context back to the model.
Article excerpt:
TL;DR: Agentic workloads are becoming a major source of vLLM traffic. Their multi-turn sessions, long contexts, and extensive…
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