"措施鼓励企业开展设计流片，国产EDA工具和IP购买、晶圆制造、封装测试、装备和材料攻关以及公 共服务平台建设。超过40家企业和单位享受到了支持政策，在高端芯片、核心设备、关键材料等领域取 得了一批丰硕的成果。"郭子平说。 （文章来源：新华财经） 数据显示，2024年深圳市半导体与集成电路产业规模达2564亿元，同比增长26.8%；2025年上半年继续 保持快速增长态势，产业规模达到了1424亿元，同比增长16.9%。从产业结构看，深圳市半导体与集成 电路产业细分领域较以往更加均衡，在集成电路设计行业保持优势的基础上，2024年深圳在集成电路制 造、封测、设备等细分领域规模，较2020年相比均翻一番。 今年上半年，深圳市出台实施《关于促进半导体与集成电路产业高质量发展的若干措施》。该措施从高 端芯片产品突破、加强芯片设计流片支持、加快EDA工具推广应用、突破核心设备及配套零部件、突 破关键制造封装材料、提升高端封装测试水平、加速化合物半导体成熟等方面，提出了10条具体支持举 措，推进深圳半导体与集成电路产业重点突破和整体提升，构建完善产业生态，增强产业核心竞争力。 新华财经深圳10月10日电（记者印朋）"海思 ...

格隆汇9月30日丨有研粉材(688456.SH)在互动平台表示，公司的高性能散热铜粉满足当前市场需求，已 成功用于GPU、NPU，未来将积极配合成套散热方案厂家将该产品应用到不同场景。公司目前有充足的 产能可以满足市场需求。 ...

Summary of Key Points from the Conference Call Industry Overview - The focus is on the AI edge technology that empowers mobile devices, enabling local AI model operations while ensuring data privacy and low-latency interactions. This technology is primarily applied in AI smartphones and AI PCs, requiring robust local computing power and multimodal content processing capabilities [1][2][3]. Core Insights and Arguments - **AI Smartphone Projections**: It is anticipated that global shipments of AI smartphones will reach 54% by 2028, with the Chinese market expected to hit 150 million units by 2027. Initially, AI features will be introduced in the high-end market before gradually penetrating the mid-to-low-end segments [1][5]. - **AI PC Development**: AI PCs are positioned as core platforms that integrate computing power, personal large models, and applications while protecting user data privacy. The penetration rate of AI PCs is expected to rise, driving an increase in average selling prices (ASP) by 10%-15% for PCs with integrated NPU [1][6]. - **Smart Automotive Sector**: The demand for NPU and customized storage solutions is significantly increasing in smart vehicles, particularly for offline model deployment in cabin domains. Independent NPUs are becoming standard to ensure large model inference and interaction in areas without signal coverage [1][7]. - **NPU as a Focus for Chip Manufacturers**: NPU, designed specifically for AI, is a key focus for chip manufacturers. It excels in scalar, vector, and tensor computations, maximizing user experience in generative AI applications through heterogeneous computing alongside CPU and GPU [1][8]. Additional Important Content - **NPU Performance Metrics**: The main performance indicators for NPU include TOPS (Tera Operations Per Second) and memory bandwidth, which are crucial for inference response capabilities. NPU is widely used in smartphones, PCs, and automotive applications [1][9]. - **Current and Future NPU Forms**: Currently, NPU is primarily integrated within processors or SoCs. However, discrete NPU solutions are being explored to enhance computing power and optimize battery life during standby [1][10]. - **Market Potential for Discrete NPU**: If all flagship smartphones adopt discrete NPU solutions, the expected shipment volume could reach around 100 million units for third-party high-end smartphones. In the PC market, a 10% penetration rate for high-end products would require approximately 20 million discrete NPUs, leading to a potential total shipment of 120 million units across smartphones and PCs [1][11]. - **Customized Storage Solutions**: Customized storage is critical for achieving optimal NPU performance, similar to HBM for GPUs. The market for customized storage is projected to reach $2-3 billion in the next two to three years, especially as discrete NPU solutions penetrate the PC and smartphone markets [1][12][14]. - **Competitive Landscape**: In the NPU and customized storage sectors, domestic companies like Xiaomi, Honor, and Lenovo are actively developing NPU solutions, while international players include Qualcomm and MediaTek. In customized storage, companies like Gigadevice are leading in performance, with traditional DRAM manufacturers also participating [1][15].

格隆汇9月26日｜北京君正(300223.SZ)发布投资者关系活动记录表，存储芯片涨价周期可能会持续到明 年。目前消费市场更加明显，行业市场情况稍微复杂一些。LPDDR4几年前就已经量产销售，也有不少 客户采用，但由于之前产品是25nm，成本较高，影响了产品的性价比竞争力，从去年到今年，公司 20nm、18nm、16nm的产品陆续送样，同时产品容量也在提升，4G、8G、16G、32G的LPDDR4产品将 逐渐到位，预计明年开始公司LPDDR4产品的销售占比会逐渐增加。大容量的NOR FLASH产品确实在 增长，增速优于DRAM。此外，目前公司已有的NPU是一个多T，目前在加大NPU的研发，预计明年中 会投带有4T算力的IPC产品，更大算力的NPU模块也将继续研发。 ...

Group 1 - The core viewpoint is that chip-related stocks have strengthened, with notable increases in companies such as Chip Origin Co., Ltd. rising over 19%, Hengxuan Technology up over 7%, and Haiguang Information and Lanke Technology both increasing over 3% [1] - The impact on the market has led to a rise of approximately 3% in related ETFs focused on innovative chips [1] Group 2 - Various chip-related ETFs have shown positive performance, with the following notable changes: - The Science and Technology Chip 50 ETF increased by 3.12% to a price of 1.554 [2] - The Science and Technology Chip ETF rose by 3.06% to a price of 2.325 [2] - The Science and Technology Chip ETF from Fortune increased by 2.83% to a price of 1.633 [2] - The Science and Technology Chip ETF from Southern rose by 3.08% to a price of 2.614 [2] - The Science and Technology Chip ETF from Guotai increased by 3.05% to a price of 1.487 [2] - The Science and Technology Chip ETF from Bosera rose by 3.08% to a price of 2.411 [2] - The Science and Technology Chip ETF Index increased by 3.03% to a price of 1.494 [2] - The Science and Technology Chip ETF Fund rose by 2.94% to a price of 2.273 [2] Group 3 - The global semiconductor market is expected to continue expanding, with the World Semiconductor Trade Statistics (WSTS) projecting a market size of $700.874 billion by 2025, representing a growth rate of 11.2%, primarily driven by logic and memory chips [2] - The acceleration of AI applications at the edge is leading to the adoption of NPU due to its low power consumption, making it an ideal choice for edge devices [2] - The industry is experiencing a wave of mergers and acquisitions across various sectors, including materials, equipment, EDA, and packaging, as companies pursue horizontal mergers to expand scale and vertical mergers to enhance the supply chain [2]

Group 1 - Chip concept stocks experienced significant declines, with Cambrian-U down over 13%, Haiguang Information down over 11%, and Lanke Technology down over 8% [1] - Multiple technology innovation chip-related ETFs fell over 7% due to market conditions [1] Group 2 - The global semiconductor market is expected to continue expanding, with the World Semiconductor Trade Statistics (WSTS) predicting a market size of $700.874 billion by 2025, growing at a rate of 11.2%, primarily driven by logic and memory chips [2] - AI edge applications are accelerating penetration, with NPUs becoming ideal choices for edge devices due to their low power consumption, while advancements in wireless connectivity are promoting the development of the Internet of Things (IoT) [2] - A wave of mergers and acquisitions is emerging in the industry, covering materials, equipment, EDA, and packaging sectors, as companies pursue horizontal mergers to expand scale and vertical mergers to enhance the supply chain [2]

Group 1 - Chip concept stocks declined, with Cambrian-U and Hengxuan Technology dropping over 7%, and Zhongwei Company down over 5%. SMIC and Haiguang Information fell over 4% [1] - The related ETFs for innovative chips dropped more than 4% due to market pressure [1] Group 2 - Various innovative chip ETFs experienced significant declines, with the Bosera Innovative Chip ETF down 9.95% to 2.254, and the Guotai Innovative Chip ETF down 4.54% to 1.388 [2] - The global semiconductor market is expected to continue expanding, with the World Semiconductor Trade Statistics (WSTS) predicting a market size of $700.874 billion by 2025, growing at a rate of 11.2%, primarily driven by logic and memory chips [2] - The acceleration of AI edge applications is leading to the adoption of NPU due to its low power consumption, making it an ideal choice for edge devices, while advancements in wireless connectivity are promoting the development of the Internet of Things (IoT) [2] - A wave of mergers and acquisitions is emerging in the industry, covering materials, equipment, EDA, and packaging sectors, as companies pursue horizontal mergers to expand scale and vertical mergers to enhance the supply chain [2]

Core Viewpoint - The recent surge in Cambricon's stock price, surpassing that of Moutai, is seen as unsustainable and indicative of capital's unhealthy influence on the industry, which could lead to long-term negative consequences for the sector [1][5]. Company Analysis - Cambricon's revenue was only 1.2 billion RMB last year, with significant growth this year, but such growth rates are not sustainable in the long term [1]. - The Chinese chip industry has opportunities, but no company currently possesses a monopoly or can achieve sustained high-speed growth [1]. - Cambricon's high stock price does not reflect its technological maturity or strategic roadmap, which is still underdeveloped due to its short establishment time [2][3]. Industry Context - Nvidia's stock price is supported by substantial performance and technological leadership, built over decades, unlike Cambricon [1][2]. - Nvidia has successfully integrated technology and established a strong ecosystem, capitalizing on market opportunities such as cryptocurrency mining and AI [2]. - The capital market's excitement around Cambricon could mislead the industry, leading to inflated salaries and a focus on short-term gains rather than long-term technological development [3]. Capital Market Dynamics - The capital market's influence can distort industry direction, leading to a focus on immediate profits rather than sustainable growth [3]. - The current environment in the Chinese chip industry is characterized by an abundance of market demand, technology, talent, and funding, but patience and a focus on technical development are essential [3].

Core Insights - The number of companies developing AI processor chips has exceeded 121, driven by the surge in interest following the release of ChatGPT by OpenAI two years ago [2][3] - Nvidia has emerged as a leader in the GPU market, which is the preferred accelerator for AI model training and deployment [2] - The AI processor market is experiencing a "Cambrian explosion," reminiscent of past tech booms, with expectations of consolidation reducing the number of companies from 121 to about 25 by the end of the decade [3][6] Company Landscape - The United States leads the AI processor development with at least 59 companies, while China has 14, and most other countries have only a few [3][6] - California and Texas are hotspots for AI chip development, with California housing at least 42 AI chip companies [3] - Companies have collectively attracted over $13.5 billion in startup funding, with many raising over $100 million in the past year [3][6] Market Segmentation - The AI processor market is categorized into five segments: - AI-IoT: Ultra-low power inference in microcontrollers or small SoCs, high volume but low average selling price [8] - AI-Edge: Inference on devices outside data centers, including robotics and smart cameras [8] - AI-Automotive: Focused on ADAS and autonomous driving, differing in economics and design cycles [8] - AI-Data Center Training: High-end accelerators for large language models and model training, low volume but high average selling price [8] - AI-Data Center Inference: Large-scale services for AI models, utilizing a mix of GPUs, NPUs, and custom ASICs [8] Investment Trends - 95 startups have received $13.5 billion in investments, while 26 public companies are expected to invest $60 billion in R&D [12] - Notable funding includes Tenstorrent's $693 million in Series D, Lightmatter's $400 million for photonic interconnects, and Black Semiconductor's $275 million in government-led support [12]

Group 1 - The core viewpoint is that the technology innovation chip concept stocks have strengthened, with notable increases in stock prices for companies like Lanqi Technology, which rose over 9%, and Cambrian-U and Hengxuan Technology, which both increased over 8% [1] - Several technology innovation chip-related ETFs have also seen significant gains, with increases exceeding 5% [1] Group 2 - The global semiconductor market is expected to continue expanding, with the World Semiconductor Trade Statistics (WSTS) predicting a market size of $700.874 billion by 2025, representing a growth rate of 11.2%, primarily driven by logic chips and memory chips [2] - The acceleration of AI edge applications is leading to the adoption of NPU due to its low power consumption, making it an ideal choice for edge devices, while advancements in wireless connectivity are promoting the development of the Internet of Things (IoT) [2] - A wave of mergers and acquisitions is emerging in the industry, covering materials, equipment, EDA, and packaging sectors, as companies pursue horizontal mergers to expand scale and vertical mergers to enhance the supply chain [2]