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OasisKV: Scaling In-Decode KV Cache Beyond HBM with Lookahead Sparse Prefetching research paper by Microsoft, 2026

Microsoft · Inference and efficiency · Aug 8, 2026 · 1 citations · 25 upvotes · unverified

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What it shows

OasisKV improves LLM inference throughput by storing full KV caches in lower memory tiers and prefetching only relevant entries into HBM using speculative-decoding lookahead predictions.

By Can Xiao, Sukmin Cho, Junbong We and 7 more · arXiv 2608.08097 · PDF

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Venue
arXiv.org
Citations
1, 0 influential · Semantic Scholar
Upvotes
25 · Hugging Face
Lab
Microsoft · on Companies · on Acquisitions · on Quarterly · on Paydays · on Releases · on TechConf

Changes

CitationsNov 2, 2026Citations rose from 0 to 1.
CitationsSep 25, 2026A first count of 0 influential citations.
CitationsSep 25, 2026A first count of 0 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.