Unverified60% confidenceFactExact time
KV Cache的显存占用随序列长度线性增长,700亿参数采用GQA的模型处理10万Token时KV Cache占用可能高达数十GB
2
Sources
60%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
GPT Live全双工、Grok 4.5编程、Seedream 5.0图像:AI三赛道同步提速
bilibili养老院killer7/9/2026
Related Claims
VerifiedKV Cache占用的显存随序列长度线性增长82% similarUnverifiedKV缓存的显存占用与上下文长度、模型层数和注意力头数成正比,8K上下文下一个典型27B模型可能额外消耗2~4GB显存78% similarUnverified对于 LLaMA-2 70B 模型,处理 4096 token 的上下文时,FP16 精度下 KV Cache 约需 20GB 系统内存78% similarUnverified准确估算模型显存占用需考虑 KV Cache、推理框架运行时开销(通常额外消耗 0.5–2 GB)和激活值等多个维度77% similarUnverified当上下文长度扩展至百万Token时,KV Cache本身就会占用数十GB显存76% similar
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