Unverified50% confidenceFactExact time
The GPU memory occupied by the KV cache grows with context length and dialogue turns, and is the main source of memory usage and latency in long-context deployment.
1
Sources
50%
Confidence
Long-term
Relevance
10/20/2026
First Seen
Sources
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Related Claims
UnverifiedCompressing the number of layers that bear KV cache overhead to one quarter of the total layer count under ultra-long contexts can significantly reduce VRAM costs for long-context inference, and is an important direction in the architectural evolution of long-context models79% similarUnverifiedKV cache 的显存占用随上下文长度线性增长，且每个并发请求、每条序列都维护一份独立缓存。79% similarVerifiedThe size of the KV cache grows linearly with context length, and VRAM consumption increases significantly when processing longer texts.79% similarUnverifiedKV Cache（键值缓存）用于避免自回归生成时对历史 token 的重复计算，但长上下文场景下预填充阶段需占用大量 HBM 显存带宽，拉长首 token 延迟（TTFT）78% similarUnverifiedIn autoregressive inference, the memory footprint of the KV cache grows linearly with sequence length and may equal or exceed the weight volume in long-context scenarios.78% similar
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