Unverified50% confidenceTradeoffExact time
KV cache is voluminous, potentially reaching several GB for a single request under long contexts, posing challenges for disk read/write and capacity management.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedModel weights cannot fill up VRAM entirely, as space must be reserved for the KV cache and inference processes; the KV cache required for a 128K context can reach as high as several GB or even exceed the model weights themselves.77% similarUnverifiedFor long-context requests, the KV cache data volume can reach several GB76% similarVerifiedThe size of the KV cache grows linearly with context length, and VRAM consumption increases significantly when processing longer texts.75% similarUnverifiedThe autoregressive generation process of large language models requires frequent reading of the KV Cache (key-value cache), placing extremely high demands on memory bandwidth and capacity.75% similar
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