Ge Long Hui·2025-12-10 03:36Core Viewpoint - Google holds a cost advantage in AI training due to its TPU chips, compared to Nvidia's Hopper chips, which are considered outdated [1] Group 1: Cost Advantage - Gavin Baker highlights that Google's TPU chips provide a low-cost advantage in the AI training sector, likening them to "fourth-generation jet fighters" [1] - In contrast, Nvidia's Hopper chips are compared to "World War II-era P-51 Mustangs," indicating a significant technological gap [1] - This cost advantage allows Google to operate its AI business at a negative profit margin of 30%, effectively "sucking the economic oxygen out of the AI ecosystem" [1] Group 2: Future Competition - Baker warns that this situation may change with the introduction of Nvidia's Blackwell chip cluster in early 2026, which will enhance training capabilities [1] - The subsequent release of the more easily deployable GB300 chip is expected to further shift the competitive landscape [1] - If Google loses its cost advantage, it could reshape the competitive dynamics and economic models within the AI industry [1]