Verified65% confidenceFactExact time
The underlying technology of context caching relies on the Transformer's KV Cache mechanism, where Key and Value vectors with the same prefix can be reused.
3
Sources
65%
Confidence
Long-term
Relevance
7/11/2026
First Seen
Sources
Kun: An Open-Source AI Coding Agent Deeply Optimized for DeepSeek
bilibili人猿菜山7/7/2026
Related Claims
UnverifiedMainstream Transformer architectures avoid redundant computation of already-processed tokens through the KV Cache mechanism.82% 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.78% similarUnverifiedLlama.cpp's -ngl parameter controls how many Transformer layers are loaded into GPU VRAM for inference; if VRAM is insufficient, layers that don't fit are automatically offloaded to the CPU, forming a hybrid inference mode.68% similarUnverifiedThe KV Cache memory usage in GPU VRAM is linearly correlated with the number of input tokens.67% similarUnverified在Transformer架构中，每个层由多头自注意力机制和多层感知机（MLP）两个核心子模块组成66% similar
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