Core Viewpoint - The article discusses the escalating competition between Google's TPU and NVIDIA's GPU in the AI computing power market, highlighting the implications for the industry and potential investment opportunities and risks [2][3]. Group 1: Competition Between TPU and GPU - Google's TPU, a custom chip, has outperformed NVIDIA's GPU in training AI models, leading to a shift in market dynamics, with NVIDIA's stock down 12.59% and Google's up 12.85% since November [2]. - The competition is framed as a battle between custom and general-purpose chips, with custom chips like TPU focusing on cost reduction and efficiency, while general-purpose GPUs like NVIDIA's offer flexibility and compatibility [3][4]. - Analysts predict that while TPU may currently lead in performance, NVIDIA's upcoming chips could regain the competitive edge, suggesting a parallel evolution rather than a definitive victory for either side [5]. Group 2: Market Implications for Hardware Supply Chain - The competition between TPU and GPU is expected to drive demand for hardware components like optical modules and PCBs, benefiting suppliers in these sectors [6][7]. - If TPU gains market share, it could significantly increase the demand for optical modules, with estimates suggesting TPU v7 could require 3.3 times more optical modules than NVIDIA's Rubin chip [7]. - The shift towards custom chips is anticipated to create a more balanced market by 2029-2030, with a potential 50-50 split between custom and GPU chips [5]. Group 3: Investment Sentiment and Market Outlook - Investors express a cautious optimism regarding AI applications, noting that while TPU's cost advantages could lower barriers for AI adoption, the current focus remains on the need for breakthrough applications [9][10]. - Concerns about an "AI bubble" are raised, with comparisons to the 2000 internet bubble, but analysts argue that the current market is underpinned by strong fundamentals and healthy cash flows [11][12]. - The future of AI applications hinges on the emergence of "killer apps" that can drive significant revenue, with the potential for substantial growth if such applications materialize [10][12].