Unverified50% confidenceFactExact time
For long-context requests, the KV cache data volume can reach several GB
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedIt is recommended to keep KV cache precision at 8-bit or 16-bit when VRAM permits, especially in long-context or precise tool-calling scenarios.79% similarVerifiedWhen the context length is extended to one million tokens, the KV Cache itself can occupy tens of gigabytes of VRAM.76% similarUnverifiedIn autoregressive inference, the memory footprint of the KV cache grows linearly with sequence length and may equal or exceed the weight volume in long-context scenarios.76% similarUnverifiedShort-term working memory, i.e., the context window, is typically 8K to 128K tokens, while long-term memory is usually stored in the form of a vector database73% similarVerifiedWhen models with hundreds of billions of parameters process a 128K context window, KV Cache can occupy tens of gigabytes of VRAM.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/933353API
curl https://kongchang.com/api/v1/knowledge/claims/933353MCP
get_claim(id=933353)