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HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.02029v1 Announce Type: new Abstract: Long-context inference retains a growing key--value (KV) cache during decoding, which consumes substantial GPU memory and can reduce generation throughput. This bottleneck remains in hybrid language models because their residual global-attention layer…

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  1. 2026-09-03 04:00 · arXiv cs.AI
    HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models

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