Unverified50% confidenceDecision RuleExact time
本地LLM部署的可用显存基础规划模型为：可用容量 = 标称显存 × 0.90
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedWhen running local LLMs, VRAM capacity is often more critical than computational speed, as VRAM capacity directly determines which models can be run.77% similarUnverifiedThe kit's total system TDP can be flexibly configured in the range of 55–120W, allowing developers to run large models with 70B parameters locally.66% similarUnverifiedFor local deployment, the largest model that fits within the available VRAM should be selected: 32 GB VRAM can support a 30B-class model, 16 GB is suitable for a model around 16B, and 8 GB is recommended for a 4B or smaller model.66% similarUnverifiedLocal LLM deployment requires loading complete model weight files into memory or VRAM.65% similar
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