Unverified85% confidenceFactTime unknown
大模型推理服务的快照数据量可能达到数十GB甚至上百GB
1
Sources
85%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Claims
UnverifiedA single inference at the million-token level requires tens to hundreds of gigabytes of high-end GPU memory (A100/H100 class).78% similarUnverifiedWhen models with hundreds of billions of parameters process a 128K context window, KV Cache can occupy tens of gigabytes of VRAM.77% similarUnverifiedFor a typical 70-billion-parameter model, the KV cache occupies approximately 0.5 MB of memory per token, and generating 100,000 tokens requires carrying 50 GB of cache.76% similarUnverified在配备16GB内存的笔记本电脑上运行70亿参数的模型已经成为现实76% similarVerifiedIn FP16 precision, large models require approximately 2 GB of VRAM per 1 billion parameters.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/3649API
curl https://kongchang.com/api/v1/knowledge/claims/3649MCP
get_claim(id=3649)