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arXiv AI By Yipin Guo, Arun M George, Siddharth Joshi

GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices

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The paper introduces GAAC, a lossless key‑value (KV) compression method for large language model inference on personal devices. GAAC encodes BF16 exponents with per‑channel base‑plus‑offset codes, adapts code widths across small groups, and reconstructs KV tiles on the fly to avoid full‑cache decompression. Experiments show 1.4× compression for BF16 KV, speedups of up to 1.27× in decode attention, and a 26% reduction in resident KV memory while boosting throughput on NVIDIA and Apple hardware.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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