2 1 Shi Ji Jing Ji Bao Dao·2025-12-03 12:00Core Insights - Nvidia is facing increasing competition in the AI chip market, particularly from Amazon's new Trainium3 chip and Google's Gemini3 model, which has been evaluated as superior to OpenAI's GPT series, leading to a decline in Nvidia's stock price [1][3] - Google's upcoming TPU chip, Ironwood, is set to significantly enhance performance, boasting a peak computing power of 425 petaflops and a memory bandwidth of 7.2 TBps, which positions it as a strong competitor against Nvidia's offerings [3][4] - The TPU's architecture, which emphasizes scalability and energy efficiency, is seen as a key advantage over Nvidia's GPUs, particularly in the context of large model training [4][5] Nvidia's Position - Nvidia maintains a competitive edge through three main advantages: access to advanced manufacturing capacity from TSMC, a robust CUDA ecosystem, and a comprehensive system that integrates GPU, networking, and software solutions [5][6] - Despite the challenges posed by TPU, Nvidia asserts its leadership in the industry, claiming to be the only platform capable of running all AI models across various computing scenarios [5] TPU and OCS Technology - Google's TPU is not just about performance metrics; its underlying technology structure allows for better scalability and efficiency in the era of large models [4] - The introduction of Optical Circuit Switching (OCS) technology in TPU clusters enhances system availability and reduces energy consumption, marking a shift towards optical interconnects in AI computing [6][7] - The market is witnessing a surge in interest towards OCS technology, with predictions of increased TPU production, indicating a growing demand for advanced AI chips [7][8] Market Reactions and Predictions - Following the announcement of Gemini3, related stocks have seen significant increases, with companies involved in OCS technology experiencing notable stock price surges [7] - Analysts have revised their forecasts for Google's TPU production, indicating a substantial increase in expected output for 2027 and 2028, reflecting heightened market confidence in TPU's capabilities [6][7]