Unverified60% confidenceFactExact time
In long-context scenarios (such as models with a 128K token window), the GPU memory occupied by the KV Cache may exceed that of the model weights themselves.
2
Sources
60%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
Unverified上下文越长，模型需要缓存的 KV Cache 越大，KV Cache 使模型生成新 Token 时无需重新计算所有历史 Token 的注意力权重80% similarVerifiedWhen models with hundreds of billions of parameters process a 128K context window, KV Cache can occupy tens of gigabytes of VRAM.77% similarUnverifiedIn long-context scenarios, the VRAM overhead of the KV Cache can be several times that of the model weights themselves.77% similarVerifiedFor a model with 70B parameters, the KV Cache for an 8K context may occupy several additional gigabytes of VRAM76% similarVerifiedWhen the context length is extended to one million tokens, the KV Cache itself can occupy tens of gigabytes of VRAM.73% similar
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