Rohan Paul· @rohanpaul_ai · X·· 3 小时前AI 评分62
AI 导读
Stanford 的一项新研究显示，在运行相同 AI 模型 Qwen3.6-27B 跨 220 项专业任务时，NVIDIA B200 的每单位能量产出价值超过 AMD MI350X 的 4 倍，节省的专家时间超过 9 倍。研究表明，在模型不变的情况下，芯片选择本身就会决定电力预算能带来多少经济回报。
正文 · 原文
Stanford's new research: The NVIDIA B200 delivered over 4x the dollar value and over 9x the expert time saved per unit of energy compared with the AMD MI350X.
i.e. chip alone, with the model unchanged, can decide how much economic return you get from your power budget.
Here, Stanford researchers ran the same AI model, Qwen3.6-27B, on 4 different single AI chips across 220 real professional tasks and measured how much useful work each produced for the energy it used.
来源：Rohan Paul · x.com