Unverified50% confidenceFactExact time
In the traditional PD-disaggregated architecture, prefill nodes and decode nodes operate independently, and KV caches cannot be passed across rounds, so content computed in the previous round must be recomputed in the next.
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
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Related Claims
UnverifiedPD separation breaks data locality, as the KV cache generated by prefill nodes needs to be transferred to decode nodes over the network, with bandwidth consumption and latency increasing as input sequence length grows69% similarUnverifiedThe cached input mechanism skips repeated inference computation by reusing the KV cache for identical prefix content, with cache-hit tokens billed at a lower price.69% similarUnverifiedIn multi-turn conversations, each new message extends the history backward, so the cache can only match up to the last stable breakpoint; if an implementation inserts a rolling summary, current-turn metadata or reformatted history at the front, the entire prefix shifts and the hit rate erodes.65% similarUnverified.detach() only severs the gradient propagation relationship in the computation graph, but still shares memory with the original tensor.64% similarUnverified如果遮挡物覆盖内部数据单元格但外圈完整，RS纠错大多能恢复数据；若遮挡物切断外圈，标记检测会干净地失败64% similar
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