Unverified50% confidenceFactExact time
KVarN（Variance-Normalized KV-Cache）是华为提出的一种方差归一化KV缓存量化方案，已在BeeLlama中实现
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/8/2026
First Seen
Valid until: 11/6/2026
Sources
Related Claims
UnverifiedKV Cache is a standard optimization in mainstream inference engines such as vLLM, TensorRT-LLM, and SGLang.71% similarUnverifiedKV Cache technology caches the already-computed K and V matrices in GPU memory, which can improve inference speed by several times66% similarUnverifiedIn the Transformer architecture, once the earlier part of a prompt changes, all KV cache entries at all subsequent positions are invalidated and must be recomputed.63% similarUnverifiedKVM is a virtualization module natively supported by the Linux kernel; it was officially merged into the Linux 2.6.20 kernel mainline in 2007 and leverages Intel VT-x/AMD-V hardware virtualization extension instruction sets.61% similarUnverifiedBeeLlama.cpp是llama.cpp的一个分支，提供了更多KV缓存量化选项，包括KVarN系列和扩展的低比特类型等主线尚未合并的实验性功能59% similar
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