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Google is in talks with Samsung to manufacture a component of its next-generation AI chip, codenamed Icefish, using 2-nanometer technology, while the main part will be made by TSMC. The chip aims to offer an alternative to Nvidia's GPUs and is expected to enter mass production as soon as 2028.
TSMC CEO C.C. Wei warned that the company is struggling to meet surging AI-driven chip demand, stating it could take a 'very long time' to fulfill customer needs even with its US factory expansion, including a $165 billion investment in new American plants.
Taiwan's manufacturing leaders, including TSMC and Foxconn, are leveraging NVIDIA's accelerated computing and AI technologies to build and optimize AI infrastructure for the upcoming Vera Rubin platform, enhancing efficiency and productivity across the supply chain.
TSMC's senior VP says energy efficiency is now the primary constraint in AI chip design, surpassing raw computing power. The shift is driving changes in transistor density, advanced packaging, and chip stacking to reduce power consumption.
Jensen Huang responds to Huawei's Tao's Law, saying it is a breakthrough for Huawei but TSMC has been deeply involved in the related technology for 10 years, and explicitly stated that Huawei is a competitor.
Taiwan's stock market overtook India to become the world's fifth largest, fueled by TSMC's 46% surge and the AI chip boom, adding nearly $2.5 trillion in value.
Tech fund giant Gavin Baker analyzes the AI bubble from a unique perspective, arguing that current AI infrastructure is backed by cash flow and GPUs are operating at full capacity, unlike the 2000 internet bubble, and that TSMC's capacity constraints are key to preventing the bubble from collapsing.