策略研究 | 证券研究报告 — 点评报告 2025 年 7 月 13 日 策略点评 国产算力产业链贯通，行情催化在即 国产算力产业链"产业突破-业绩验证-需求验证"逻辑链条已逐步打通，产业 链行情正在迎来催化。 tianran.gao@bocichina.com 证券投资咨询业务证书编号：S1300522100001 ◼ 国产算力产业链"产业突破-业绩验证-需求验证"逻辑链条已逐步打通，产 业端，沐曦集成、摩尔线程两大国产 GPU 厂商科创板 IPO 获受理，填补 A 股全功能 GPU 空白，华为算力集群性能媲美英伟达，产业链重点公司 业绩来看，工业富联中报业绩创历史同期新高，需求端，国产大模型 Tokens 消耗量高速增长。国产 GPU 上市潮、硬件厂商业绩兑现与 AI 大 模型需求增长形成共振，国产算力产业从技术研发、商业落地到需求支撑 已进入高速增长周期，全产业链自主化进程提速，国产算力行情亦有望受 到催化，建议关注国产算力芯片、服务器、PCB、光通信厂商等。 ◼ 风险提示：1）政策落地不及预期，宏观经济波动超预期。2）市场波动风 险。3）海外经济超预期衰退、流动性风险。 策略点评 国产算力产业链"产业 ...

过去几年，理想汽车各园区的几块"草坪"，见证了理想ONE、L9、L8、L7、L6的发布。我们觉 得，把最新的产品和思考，在最熟悉的"家"里讲给大家听，特别亲切，当然，最主要是省钱+提效。 很多人都调侃我们是"抠厂"，从我角度来看，这在某些方面是一个褒义词，当家才知道柴米贵。 那么接下来，7月29日的理想i8发布会，有几个选择： 李想25年7月10日微博： 2019年4月10日，理想ONE发布会，地址：理想汽车常州制造基地 2022年6月21日，理想L9发布会，地址：理想汽车北京研发总部 2022年9月30日，理想L8发布会，地址：理想汽车北京研发总部 2023年2月8日，理想L7发布会，地址：理想汽车北京研发总部 2024年3月1日，理想MEGA发布会，地址：上海世博中心 2024年4月18日，理想L6发布会，地址：理想汽车北京研发总部 是像往常一样，产品讲透就收（大概1小时？），还是多聊会，试试把时间放长点？小米每次三 个小时的发布会，大家也都津津有味； 理想汽车十周年了，除了 "理想i8究竟好在哪"以外，你们是不是也想听听在做这些事时，我们到 底是怎么思考的？ 想听听大家意见！ TOP2倾向认为，时长地点 ...

Core Viewpoint - The AI investment cycle is transitioning from "investment" to "returns," but this does not imply a slowdown is a peak. Goldman Sachs indicates that despite a deceleration in growth, AI infrastructure investment will remain sustainable over the next 2-3 years, with cost benefits already being realized and stock prices not yet reflecting this structural change [1][2]. Group 1: AI Investment and Returns - Goldman Sachs categorizes AI value creation into three phases: cost reduction through automation (current phase), reinvestment and rebuilding, and revenue generation through incremental income [2][3]. - AI applications in customer service, sales, and IT are already yielding tangible benefits, with 43% of call centers adopting AI tools and achieving an average operational cost reduction of 30% [2][3]. Group 2: Cost Savings and Future Projections - By 2030, AI automation could save Fortune 500 companies approximately $935 billion, representing about 14% of their total costs, with a net present value return of around $780 billion against a cumulative investment of $350 billion [3][4]. - Major cloud service providers are the primary investors in AI infrastructure, focusing on long-term revenue growth opportunities rather than short-term cost savings, complicating ROI calculations [3][4]. Group 3: Infrastructure Spending and Demand - Concerns about whether infrastructure spending has peaked, particularly regarding training chip inventory and demand, are considered overstated by Goldman Sachs [4][5]. - Large tech companies like Microsoft, Amazon, Google, and Meta are expected to maintain their AI infrastructure investments without significantly compressing profit margins over the next 2-3 years [5][6]. Group 4: New Demand Drivers - Demand for "inference" computing from enterprise clients and government (sovereign AI) is emerging as a new spending driver, especially as small and medium enterprises rapidly expand their deployment of customized models or edge AI applications [6][7]. Group 5: Market Valuation and Stock Performance - The market has partially priced in strong demand expectations for Nvidia's next-generation GPUs, but there is still insufficient valuation for its expanding customer base and the potential explosion of AI inference business [8]. - Broadcom's stock price increase is attributed to clear guidance indicating AI revenue growth of 60% in FY25 and FY26, suggesting that the stock price rise reflects a clearer mid-term fundamental improvement path [8].

证 券 研 究 报 告 希荻微（688173）深度研究报告 强推（首次） 模拟行业复苏扬帆，外延并购拓平台版图 公司研究 集成电路 2025 年 07 月 11 日 目标价：17.91 元 当前价：13.41 元 华创证券研究所 证券分析师：耿琛 电话：0755-82755859 邮箱：gengchen@hcyjs.com 执业编号：S0360517100004 证券分析师：岳阳 邮箱：yueyang@hcyjs.com 执业编号：S0360521120002 证券分析师：吴鑫 邮箱：wuxin@hcyjs.com 执业编号：S0360523060001 联系人：卢依雯 邮箱：luyiwen@hcyjs.com 公司基本数据 | 总股本(万股) | 41,031.93 | | --- | --- | | 已上市流通股(万股) | 24,318.23 | | 总市值(亿元) | 55.02 | | 流通市值(亿元) | 32.61 | | 资产负债率(%) | 12.89 | | 每股净资产(元) | 3.57 | | 12 个月内最高/最低价 | 15.24/7.94 | 市场表现对比图(近 12 个月) - ...

wo[Table_Title] Research Report 11 Jul 2025 中国电子 China (Overseas) Technology CoreWeave 抢跑 GB300 商用部署，收购 Core Scientific 强化电力资源掌控 CoreWeave leads GB300 commercial deployment and strengthens power resource control through the acquisition of Core Scientific 姚书桥 Barney Yao 吴叡霖 Louis Ng barney.sq.yao@htisec.com louis.yl.ng@htisec.com [Table_yemei1] Flash Analysis [Table_summary] 事件： 2025 年 7 月，CoreWeave 宣布成为全球首家商用部署 NVIDIA GB300 NVL72 平台的云厂商。本次部署采用整架集成 方案，由 Dell 提供 PowerEdge XE9712 预装服务器，Switch 提供高功率数据中心托管，Verti ...

July 8, 2025 12:27 PM GMT Greater China Technology Hardware | Asia Pacific GB200 NVL72 racks in June We estimate that GB200 rack output increased slightly in June, to ~2.5k vs. 2-2.5k in May, leading total 2Q GB200 rack output to reach ~6k. We expect shipments to continue to increase in 3Q; they appear to be on track to reach 10-11k. Key Takeaways Quanta (2382.TW, OW): June revenue was ~NT$190bn (+18% m/m, +71% y/y). We attribute the m/m increase to: We estimate that Quanta's GB200 racks increased from ~400 ...

Group 1: Photovoltaic Silicon Material Industry - The photovoltaic silicon material industry is expected to accelerate capacity consolidation, with the Ministry of Industry and Information Technology emphasizing the need for high-quality development in the solar industry [1] - By 2027, the industry is projected to enter a stable development phase, with significant advantages in the silicon material segment due to differences in capacity costs and financial strength among companies [1] - Key companies to watch include GCL-Poly Energy, Xinte Energy, Tongwei Co., and TBEA [1] Group 2: Solid-State Battery Industry - The solid-state battery industry is witnessing continuous advancements, with equipment from Winbond Technology successfully delivered to major domestic clients [2] - Material production is ramping up, with significant capacity in oxide electrolytes and expectations for sulfide electrolytes to achieve ton-level shipments by 2025 [2] - Companies of interest in this sector include Xiamen Tungsten, Tianqi Lithium, and others involved in the solid-state battery supply chain [2] Group 3: Offshore Wind Power Development - The central government is promoting the orderly development of offshore wind power, with a focus on enhancing the marine economy and encouraging private investment [3] - Goldwind Technology has secured over 7.7GW of international orders for 2024, with significant revenue growth reported for its international subsidiary [3] - Key players in the wind power sector include Goldwind Technology, Oriental Cable, and Dajin Heavy Industry [3] Group 4: Data Center Investment - Global data center investments are accelerating, with Amazon planning to invest AUD 20 billion (approximately USD 13.1 billion) in Australia and SK Telecom collaborating with Amazon Web Services for a significant data center project in South Korea [4] - The deployment of NVIDIA's GB300 AI systems is underway, indicating a growing demand for AI computing resources [4] - Companies to monitor in the AIDC power equipment sector include Jinpan Technology, Xinte Electric, and others [4] Group 5: Key Company Earnings Forecasts - The report provides earnings forecasts and investment ratings for several companies, with Goldwind Technology rated "Outperform" and projected to have an EPS of 1.28 in 2025 [5] - Jinpan Technology and other companies also received "Outperform" ratings, indicating positive market sentiment [5] Group 6: Industry Performance Overview - The electric power equipment sector outperformed the market in June, with a 6.68% increase compared to a 2.5% rise in the CSI 300 index [13] - The sector's PE ratio at the end of June was 30.3, reflecting a slight recovery in valuations [13] - The report highlights that the electric power equipment industry has shown strong performance across various sub-sectors, including lithium battery materials and wind power [23]

Investment Rating - The report maintains an investment rating of "Outperform the Market" for the telecommunications industry [1][42]. Core Insights - The MWC Shanghai showcased new opportunities in low-orbit satellite ground infrastructure, with AMD Helios cabinets potentially utilizing more optical modules and copper cables [2][5]. - CoreWeave has initiated the first batch of shipments for the GB300 NVL72 system, expected to significantly enhance AI computing capabilities, with a projected shipment of over one million units of GB200 by 2025 [5][16]. - Oracle has signed a substantial cloud computing agreement worth $30 billion, anticipated to contribute over $30 billion annually starting from the 2028 fiscal year, indicating strong demand for AI computing resources [6][17]. - The new leadership at China Star Network is expected to accelerate the construction and commercialization of low-orbit satellite internet, with a focus on market-oriented operations and ecosystem breakthroughs [7][18][19]. Summary by Sections Industry Dynamics - The telecommunications industry is experiencing a shift towards AI computing and satellite internet, driven by significant investments and technological advancements [5][6][7]. - The demand for AI computing is expected to remain robust, with a favorable outlook for the second half of the year and into the next [5][16]. Market Performance - The overall market showed mixed performance during the week of June 30 to July 6, 2025, with the Shanghai Composite Index rising by 1.40% and the Shenzhen Component Index increasing by 1.25% [9][20]. - The telecommunications sector saw a slight decline, with the Shenwan Communications Index down by 0.10% [9][20]. Key Companies to Watch - Recommended companies in the overseas computing sector include Zhongji Xuchuang, Xinyi Sheng, Tianfu Communication, and others [8][20]. - In the satellite internet space, companies such as Shanghai Huanxun and Xinke Mobile are highlighted for potential investment [8][20].

Core Insights - The Xiaomi YU7 has achieved remarkable sales figures, with over 200,000 pre-orders within 3 minutes and 289,000 within an hour of its launch, indicating strong market demand [2] - The success of the YU7 is attributed to its competitive pricing strategy, robust user base, and a well-established ecosystem, despite previous challenges faced by Xiaomi in the automotive sector [2][7] Pricing Strategy - The YU7 is positioned in the 250,000 RMB market segment, with three versions priced at 253,500 RMB, 279,900 RMB, and 329,900 RMB, which are strategically set to avoid internal competition with the SU7 model [4] - The YU7's pricing is competitive compared to its main rival, the Tesla Model Y, being 10,000 RMB cheaper while offering superior features [5] - Xiaomi's pricing strategy emphasizes high-end configurations at lower prices, attracting price-sensitive consumers and enhancing its competitive edge in the high-end SUV market [6][11] Market Impact - The YU7's launch is seen as a disruptive force in the smart automotive market, prompting traditional and new automotive brands to reassess their product strategies and pricing [9] - The introduction of the YU7 is expected to accelerate innovation and product iteration among competitors, as it directly targets popular models like BYD Song PLUS and Li Auto L7 [10] User Base and Ecosystem - Xiaomi's extensive and loyal user base from its smartphone business has significantly contributed to the initial success of the YU7, as these users are more likely to trust and try Xiaomi's automotive offerings [7] - The integration of Xiaomi's smart ecosystem enhances the YU7's appeal, providing a differentiated user experience through seamless connectivity with other smart devices [8] Future Considerations - To maintain its competitive advantage, Xiaomi needs to focus on optimizing production processes, improving delivery timelines, and enhancing product quality through increased R&D investment [10][11] - Strengthening user engagement and feedback mechanisms will be crucial for Xiaomi to adapt to market demands and ensure ongoing customer satisfaction [11]

亚马逊(AMZN.US)周三表示，其云计算部门已开发出专门用于冷却下一代英伟达(NVDA.US)图形处理 器(GPU)的硬件设备——这些GPU被广泛用于人工智能相关的计算任务。英伟达的GPU为生成式人工智 能的爆发提供了强大动力，但它们消耗的能源极为庞大。这意味着，使用这些处理器的公司必须配备额 外的设备来进行冷却。 Dave Brown表示，客户现在可以通过名为P6e的计算实例使用这一AWS服务。这些新系统配合英伟达设 计的高密度计算硬件使用。英伟达的GB200 NVL72将72颗英伟达Blackwell GPU安装于单个机架中，并 通过互联方式协同工作，以训练和运行大型AI模型。 亚马逊此前已推出多种自主研发的基础设施硬件。该公司开发了用于通用计算和人工智能的定制芯片， 并设计了自有的存储服务器和网络路由器。通过运行自主硬件，亚马逊对第三方供应商的依赖减少，从 而有助于提高盈利能力。在第一季度，AWS交出了自2014年以来最佳运营利润率的成绩，该业务部门 也贡献了亚马逊的大部分净利润。 亚马逊曾考虑建设能够广泛部署液冷系统的数据中心，以充分发挥这些高功耗英伟达GPU的效能。但亚 马逊云服务(AWS)计算与 ...