高速SerDes芯片
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车载芯片国产化攻坚 资本聚焦头部先进领域
Jing Ji Guan Cha Wang· 2026-02-27 09:36
作为汽车智能化的核心"算力底座",车载芯片国产化进程正加速突破。2026年开年,车载芯片领域融资热度持续走高,蔚来芯片子公司、仁芯科技、研微半 导体等一批国内车载芯片企业密集斩获大额融资。 相较于前几年半导体产业融资"小额分散"且集中于基础封装、中低端芯片设计等环节,当前资本正加速向14nm及以下先进制程、AI算力芯片、高端存储芯 片、半导体制造等核心领域倾斜,推动车载芯片国产化从"量的积累"向"质的飞跃"转型。 长城汽车相关技术负责人向经济观察报表示:"如今资本布局更具针对性,呈现'头部集中、高端聚焦'的鲜明特征。这种资本精准布局背后,是国内汽车产 业供应链自主可控的迫切需求,也是政策重点支持的方向。不管是车企本身,还是国家战略导向,都会促使车载芯片国产化加速实现关键领域突破。" 国产芯片再迎融资热潮,车企追求自主可控 2月26日,蔚来集团发布公告称,其芯片子公司安徽神玑技术有限公司已完成首轮股权融资协议签署,融资金额达22.57亿元,投后估值接近百亿元。安徽神 玑核心产品"神玑NX9031"为5nm车规工艺高阶智能辅助驾驶芯片,本轮融资之后,神玑公司还将推出面向下一代智能驾驶的超强性能芯片以及多款其他领 ...
算力芯片看点系列:如何理解Scale-up网络与高速SerDes芯片?
Soochow Securities· 2025-08-21 09:35
Investment Rating - The report maintains an "Overweight" rating for the electronic industry [1] Core Insights - In the AI chip Scale-up sector, NVIDIA is currently the dominant player, utilizing its proprietary NVLink technology to interconnect up to 576 GPUs with a communication speed of 1.8TB/s, significantly outperforming competitors using PCIe protocols [11][12] - The establishment of the UALink alliance by major companies like AMD, AWS, Google, and Cisco aims to create an open ecosystem, although challenging NVIDIA's NVLink remains difficult [11][12] - The report emphasizes the importance of high-speed SerDes technology, which is crucial for AI chip interconnectivity, and highlights the need for domestic development in this area to achieve self-sufficiency [45][46] Summary by Sections 1. Scale-up Overview - The report discusses the two main camps in AI chip interconnect technology: proprietary protocols and open ecosystems, with NVIDIA's NVLink being the most mature and effective solution [11][12] 2. NVLink and NVSwitch - NVLink is described as a layered protocol design that enhances data transmission reliability, while NVSwitch acts as a high-capacity switch facilitating efficient GPU communication [14][15] 3. NVIDIA's Interconnect Strategy - NVIDIA employs both NVLink for GPU-to-GPU connections and PCIe for GPU-to-CPU connections, with future developments potentially allowing direct NVLink connections to CPUs [21][30] 4. Domestic Alternatives for AI Chip Scale-up - The report suggests that achieving a domestic alternative to NVLink is challenging, but the UALink initiative may provide new opportunities for local AI chip development [45][46] 5. Investment Recommendations - The report recommends focusing on companies like 盛科通信 (Shengke Communication) and 海光信息 (Haiguang Information), while also monitoring 万通发展 (Wantong Development) and 澜起科技 (Lankai Technology) for potential investment opportunities [6]