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Calibrate, Then Route: A Measured Study of Learned Request Routing for Disaggregated LLM Serving
Disaggregated LLM serving places compute heavy prefill and memory heavy decode on separate GPU pools. Systems such as DistServe, Splitwise, and Mooncake make this separation fast, but routing still determines which instances handle each request. We study a router that estimates the additional comple
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