arXiv: cs.AI preprintsInternational6 November 2026
KVBuffer: IO-aware Serving for Linear Attention
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arXiv:2605.19049v2 Announce Type: replace-cross Abstract: Linear attention has recently gained significant attention for long-context inference due to its constant decoding cost with respect to context length. However, existing serving systems typically serve linear attention by recurrently computing and updating a large linear attention state in every decoding step. Since the state is much larger than the per-token key and value, recurrent decoding incurs substantial memory access and becomes inefficient for serving linear attention. In this paper, we propose KVBuffer, an IO-aware serving mec
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