Workflow
云端AI
icon
Search documents
高通中国区董事长孟樸:未来机器人与可穿戴设备的市场规模将媲美手机
Mei Ri Jing Ji Xin Wen· 2025-09-24 14:52
提到手机芯片,很多人会想到高通骁龙。长期以来,国内外手机厂商都会争抢骁龙芯片的首发权。今年正值高通进入中国三十周年,高通在30年中几乎与国 内所有主流手机品牌建立了深度合作关系,而在过去3年间,这种合作又从手机市场扩展至汽车市场。 9月24日下午,在2025年度高通骁龙峰会期间,高通公司中国区董事长孟樸接受了媒体记者采访。他回顾了高通在中国的发展,并用两个关键词进行了概括 ——创新与合作。 每经记者|王晶 每经编辑|文多 针对苹果、小米等厂商自研芯片的趋势,孟樸认为,这对高通来说并不是一个新课题。"我们的芯片是通用芯片,它能大量提供,从而达到很好的经济性 (规模效应)。但不同厂家有不同的诉求。除了苹果,小米、三星自己做芯片也已经做了十几年,但它们也一直在用高通的芯片,每年(使用量多少)取决 于它们当年自研芯片的表现。"在孟樸看来,竞争始终存在,但核心问题是如何持续为客户提供有价值的技术和服务。 此外,孟樸还就AI、汽车、机器人等新兴领域发表了看法:"长远来看,未来有两个领域的规模会等同于或大于智能手机。一个是机器人,另一个是各种可 穿戴设备——包括智能眼镜。" 手机之外,智能网联汽车、机器人和智能眼镜是高通眼 ...
如何看本轮利基存储涨价?
2025-08-05 03:20
Summary of Conference Call Records Industry Overview - The conference call primarily discusses the **NAND Flash** and **DRAM** memory markets, focusing on price trends, demand drivers, and competitive dynamics among manufacturers, particularly in Taiwan and mainland China. Key Points Price Trends and Market Dynamics - **NOR Flash Market**: In Q3 2025, NOR Flash prices are expected to rise, with large capacity products increasing by over **15%** and medium/small capacity products by over **20%**, driven by demand from AI servers and automotive electronics [1][4][5] - **DDR4 and DDR3 Prices**: DDR4 contract prices fell in the first half of 2025 but began to recover in Q2, with a projected increase of over **20%** in Q3. DDR3 prices rose by over **10%** in Q2, with expectations of a **15%** increase in Q3 and **10%** in Q4, leading to an annual increase exceeding **30%** [2][8][35] - **Overall Market Performance**: The niche storage market is supported by growth in AI servers, automotive electronics, and industrial control sectors, despite a decline in traditional consumer electronics [5][12] Demand Drivers - **AI Server Demand**: The demand for AI servers, particularly products like AMD's MI300 series, has significantly influenced price increases. The domestic AI server market is expected to see a rise in domestic manufacturers' market share from **20%** in the first half of 2025 to over **30%** in the second half, with long-term projections exceeding **80%** [1][23] - **Emerging Consumer Electronics**: New consumer electronics such as TWS headphones and AI glasses are driving demand in the niche storage market, contrasting with the declining traditional consumer electronics market [1][12] Manufacturer Strategies - **Taiwanese Manufacturers**: Taiwanese manufacturers initially planned a **10%** price increase in Q2 2025, but actual increases were lower. They are now focusing on the mainland market for SLC products, leading to intensified competition [6][15] - **Production Capacity**: Taiwanese manufacturers are expanding their DRAM production capacity, particularly for DDR4 and DDR5, while maintaining a cautious approach to increasing NAND Flash capacity due to current market conditions [14][30][31] Competitive Landscape - **Market Share Dynamics**: The top three Taiwanese manufacturers dominate the market, holding over **75%** of the market share. However, the growth potential for NAND Flash revenue is limited due to a lack of new applications [16][18] - **Mainland Competitors**: Mainland Chinese companies are gradually entering the server market, gaining some market share but still lagging behind established Taiwanese firms in terms of product stability and performance [20][23] Future Outlook - **Price Stabilization**: While prices are expected to rise in the short term, there may be a stabilization or easing of price increases by late August or early September 2025 due to a lack of large-scale follow-up orders [5][19] - **Long-term Growth**: The DDR4 market is projected to exceed **$6 billion** by 2026, driven by increasing demand for high-capacity products [37][38] Additional Insights - **H20 Orders Impact**: H20's additional orders have increased demand in the Taiwanese market, particularly for 1TB capacity products, but this demand is not expected to be sustained [18][19] - **Profit Margins**: High-margin products like large capacity No Flash can achieve margins over **80%**, making them highly profitable despite the overall market challenges [25][26] This summary encapsulates the key insights from the conference call, highlighting the current state and future outlook of the NAND Flash and DRAM markets, along with the competitive dynamics among manufacturers.
关于硅谷AI大战的现状,这篇文章讲清楚了
Hua Er Jie Jian Wen· 2025-07-03 10:59
Group 1 - Dylan Patel analyzes the recent acquisition of Scale AI by Meta, suggesting that the focus is on Alexandr Wang and his team rather than the data labeling business itself [1][17] - The acquisition signifies a strategic shift for Meta, moving from a cautious approach to aggressively pursuing "superintelligence" due to perceived lag in AI advancements [1][19] - Patel believes that the AI landscape is evolving, with companies like OpenAI leading the charge, while Meta is positioned to attract top talent to remain competitive [3][23] Group 2 - Apple faces challenges in attracting top AI researchers due to its corporate culture, compensation, and lack of computational resources compared to competitors like Anthropic and Meta [2][56] - The company has historically made small acquisitions and struggles to create an appealing environment for AI talent, which hinders its competitive edge [51][56] - Patel expresses skepticism about the future of edge AI, suggesting that consumer preference for free cloud-based services will limit the adoption of device-side AI [62][63] Group 3 - Nvidia has built a strong moat with its hardware and software ecosystem but faces backlash from cloud service providers due to its recent acquisition of Lepton and the launch of DGX Cloud [2][10] - Patel criticizes Nvidia's strategy as a significant error, as it directly competes with cloud service providers, leading to potential shifts towards AMD [2][10] - The future of AI work automation is predicted to be slower than many expect, with significant automation unlikely to occur until the end of the decade [10][36] Group 4 - The relationship between Microsoft and OpenAI is described as tumultuous, with concerns over IP control and profit-sharing agreements creating uncertainty for OpenAI's future [27][30] - Patel highlights the complexities of the deal structure between Microsoft and OpenAI, emphasizing the potential risks for OpenAI's developers regarding IP ownership and profit distribution [30][36] - The ongoing competition for "superintelligence" is expected to intensify, with OpenAI currently leading and Meta positioned to catch up [3][23]