Unverified50% confidenceFactExact time
In Agent workloads, the context expands from 60,000 to 400,000 tokens, and the KV cache of a single session may occupy tens of GB of GPU memory; although requests are waiting during gaps between tool calls, the cache cannot be released, further reducing the effective batch size.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedFor long-context requests, the KV cache data volume can reach several GB80% similarVerifiedFor a typical 7B model with 32 layers and 32 attention heads, storing the KV Cache for each token requires approximately 0.5 MB of VRAM, so generating 1,000 tokens requires an additional ~500 MB of VRAM74% similarVerifiedWhen the context length is extended to one million tokens, the KV Cache itself can occupy tens of gigabytes of VRAM.74% similarUnverifiedKV cache is voluminous, potentially reaching several GB for a single request under long contexts, posing challenges for disk read/write and capacity management.74% similarUnverified一个200K上下文窗口的请求，其KV Cache可能占据数十GB显存73% similar
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