Unverified50% confidenceFactExact time
The actual memory of local deployment consists of three parts: quantized weights, KV cache, and runtime overhead.
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50%
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Long-term
Relevance
10/25/2026
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Related Claims
UnverifiedWhen deploying large models locally, VRAM usage consists of two parts: model weights and runtime memory (primarily the KV cache)75% similarUnverifiedFor long-context requests, the KV cache data volume can reach several GB71% similarVerifiedThe cost of persistent KV caching is a significant increase in storage space, along with the engineering challenge of efficiently locating and loading relevant segments from a massive cache.70% similarUnverifiedThe 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.69% similarUnverifiedExtending CPU memory as a KV Cache overflow area is a common engineering technique; the trade-off is increased access latency, and it is suitable for batch processing scenarios that have high throughput requirements but are not sensitive to single-request latency.68% similar
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