（来源：老张投研） 通富微电，又定增了！ 1月9日晚，通富微电发布公告，拟定增募集资金总额不超过44亿元，用于存储芯片、汽车等新兴应用、 晶圆级、高性能计算及通信四大项目的封测产能提升，以及补充流动资金。 事实上，自上市以来，通富微电曾进行多次融资。 2007年以来，公司共进行了6次直接融资，募资总额约为107.57亿元，主要用于产能建设，以及AMD苏 州和槟城的收购等投资项目。 | 片 목 | 项目 | 项目投资总额 | 拟使用募集资金 投入 | | --- | --- | --- | --- | | 1 | 存储芯片封测产能提升项目 | 88,837.47 | 80,000.00 | | 2 | 汽车等新兴应用领域封测产能提升项目 | 109.955.80 | 105,500.00 | | 3 | 晶圆级封测产能提升项目 | 74,330.26 | 69,500.00 | | ব | 高性能计算及通信领域封测产能提升项目 | 72.430.77 | 62,000.00 | | ર | 补充流动资金及偿还银行贷款 | 123,000.00 | 123,000.00 | | | 合计 | 468,554.30 ...

Core Insights - The AI chip industry is undergoing a significant transformation, with a shift from Nvidia's dominance to a more competitive landscape involving multiple players such as AMD, Google, Amazon, and others [5][6][42] - The emergence of domestic Chinese AI chip manufacturers is accelerating, driven by geopolitical factors and increasing local market penetration [8][43][58] - The competition is evolving from a focus on hardware performance to system-level efficiency and ecosystem integration, indicating a shift in industry dynamics [11][47][80] Group 1: Industry Trends - The global AI chip shipment is expected to exceed 10 million units by 2025, with Nvidia currently holding over 90% market share in the GPU segment, but the competitive landscape is changing [7][42] - China's AI chip market is projected to grow at a compound annual growth rate of 53.7% from 2025 to 2029, with the market size expected to increase from 142.54 billion yuan in 2024 to 1.34 trillion yuan by 2029 [8][43] - The competition is intensifying, with Google and Amazon's ASIC chip shipments expected to reach 40% to 60% of Nvidia's GPU shipments by 2025 [9][43] Group 2: Competitive Dynamics - The technological competition has shifted from architecture battles to system-level efficiency, with Nvidia maintaining its lead through a comprehensive solution while Google’s TPU represents a rising ASIC alternative [11][45] - The industry is moving towards ecosystem bundling, with Nvidia still leading but other manufacturers like AMD and Broadcom forming partnerships with major clients like OpenAI [13][80] - Geopolitical factors are increasingly influencing the AI chip landscape, with U.S. policies affecting the presence of American companies in China and boosting local manufacturers [14][81] Group 3: Company Strategies - Nvidia is facing intensified competition, with significant milestones achieved in 2025, including becoming the first company to surpass a $4 trillion market cap and launching new products like the Blackwell chip [17][84] - AMD is aggressively pursuing market share in the GPU space, launching new AI chips and forming a strategic partnership with OpenAI for substantial hardware procurement [20][54] - Broadcom is experiencing rapid growth in the custom AI chip market, with its stock price rising significantly and expected to benefit from the increasing demand for custom solutions [21][55] Group 4: Future Outlook - The AI chip market is anticipated to continue its rapid growth, with predictions of a 300% increase in global AI model training volume by 2026, leading to a 45% growth in the AI chip market, surpassing $80 billion [29][63] - The focus of AI models is shifting from training to application inference, with cost efficiency becoming a critical factor, potentially leading to a surge in demand for low-cost ASIC chips [31][64] - The competition between GPU and ASIC is likely to escalate into an "ecosystem war," with companies like Google and Amazon pushing their self-developed chips into commercial markets [33][65]