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AI算力“芯”时代来临:国产厂商共谋突破
半导体芯闻· 2025-10-09 09:49
Core Insights - The article emphasizes the critical role of computing power in driving technological innovation in the context of accelerating AI development, highlighting the need for China’s semiconductor industry to achieve full-chain autonomy from design to manufacturing and testing [1][4]. Group 1: Forum Overview - The forum titled "Leading the AI Computing Power 'Chip' Era - Creating a New Era for the Semiconductor Industry" was successfully held in Beijing, co-organized by Zhuhai Silicon Core Technology Co., Ltd. and the Machinery Industry Press [1]. - This event integrated various high-coupling topics such as CPO, RISC-V, EDA/IP, and storage-computing integration, marking a shift towards a more collaborative industry perspective [3]. Group 2: Industry Collaboration and Standards - The forum signaled a proactive approach by domestic companies to establish local standards and data sharing, which are essential for creating a Chiplet ecosystem that ensures interoperability and reliability among different manufacturers [4]. - The establishment of cross-manufacturer joint verification platforms and Chiplet standard interface alliances is proposed to enhance competitiveness in advanced packaging and system-level collaboration [4][16]. Group 3: Expert Insights - Five core reports were presented, analyzing advanced technology paths from a full-chain perspective, focusing on the development of silicon photonics, Chiplet, and heterogeneous integration [5][7]. - Experts discussed the necessity of advanced packaging technologies to overcome performance bottlenecks as traditional methods approach physical limits, emphasizing the importance of reliability validation during the design phase [11][12]. Group 4: Key Technologies and Trends - CPO technology, which integrates optical and electronic components on the same substrate, is highlighted as a core focus area, with domestic companies making significant progress in establishing a complete supply chain [8]. - RISC-V architecture is gaining traction in AI chip design, driven by the rise of large models like ChatGPT, with an emphasis on scenario-driven development and ecosystem building [9]. Group 5: Future Directions - The forum concluded with discussions on breaking down traditional boundaries between chip design, packaging, and testing, advocating for a collaborative mechanism to enhance system-level capabilities [14]. - The potential for a long-term competitive advantage in the semiconductor industry is recognized, contingent upon the successful implementation of collaborative innovations and the establishment of a unified ecosystem [16].