摘要 算力、模型、数据齐上阵 工信部等八部门联合印发的《"人工智能+制造"专项行动实施意见》近日发布，给"AI进工厂"划出 了可验收的时间表与交付物： 到2027年，推动3—5个通用大模型在制造业深度应用，推出1000个高水平工业智能体，打造 100个工业领域高质量数据集，并推广500个典型应用场景，同时培育2—3家生态主导型企业、选 树1000家标杆企业。 这份文件由工业和信息化部、中央网信办、国家发展改革委、教育部、商务部、国务院国资委、市 场监管总局、国家数据局八部门联合印发，落款时间为2025年12月25日，近期对外公开。 从"上系统"到"交付工业智能体" 与此前更多强调"智能工厂""数字化改造"的表述不同，《实施意见》把抓手进一步落到"算力—模 型—数据—场景"四件套上： 一方面提出强化算力供给，支持训练芯片、端侧推理芯片、AI服务器、高速互联、智算云操作系统 等关键技术，并推动大模型一体机、边缘计算服务器、工业云算力部署； 另一方面提出培育重点行业大模型、发展"云—边—端"模型体系，推动模型轻量化部署，加快在 工业场景落地。 文件还专门提出开展"模数共振"行动：推动建立企业首席数据官制度，推进数据 ...

人民财讯1月7日电，工业和信息化部等八部门印发《"人工智能+制造"专项行动实施意见》，其中提 出，强化人工智能算力供给。推动智能芯片软硬协同发展，支持突破高端训练芯片、端侧推理芯片、人 工智能服务器、高速互联、智算云操作系统等关键核心技术。有序推进高水平智算设施布局，加快建设 算力互联互通平台、全国一体化算力网监测调度平台，开展智算云服务试点，推动大模型一体机、边缘 计算服务器、工业云算力部署，提升智算资源供给能力。 ...

Group 1 - The article highlights the collaboration between a company and Huawei to launch a large model integrated machine, as well as a technical partnership with Moore Threads [1] - A company has signed a 100 million yuan contract for new energy power batteries, indicating a strong focus on renewable energy and storage solutions [1] - Another company has entered into a strategic cooperation agreement for humanoid robot components with a rolling bearing enterprise, showcasing advancements in humanoid robotics and automotive technology [1]

Core Insights - The rise of large model integrated machines is reshaping the industrial ecosystem, driven by advancements in AI technology and changing industry demands, with explosive growth expected between 2024 and 2025 [1][3] Industry Overview - Large model integrated machines are highly integrated systems that provide large model application capabilities, with core advantages in deep hardware and software collaborative design [2] - The demand for large model integrated machines is expected to reach 150,000 units in 2025, 390,000 units in 2026, and 720,000 units in 2027, with the market size projected to reach 123.6 billion yuan in 2025 and exceed 500 billion yuan by 2027, indicating a growth of over 300% in two years [3][4] Application Scenarios - The majority of enterprises are deploying integrated machines for intelligent customer service (74.5%), intelligent writing (63.8%), intelligent retrieval (74.5%), and intelligent data analysis (80.9%) [4][13] - The target market for large model integrated machines focuses on industries prioritizing data sovereignty, security, and model privatization, particularly in sectors like government, finance, healthcare, and energy [4][12] Policy and Government Support - A series of policies from national to local levels are driving the demand for large model integrated machines, including the 2025 State Council's directive on implementing "AI+" actions to accelerate intelligent transformation across industries [12][13] - Local governments, such as Shenzhen, are actively promoting the development of large model integrated machines as part of their action plans to become leaders in AI [13] Challenges and Recommendations - The industry faces challenges such as high-end chip development difficulties, reliance on advanced manufacturing, and the need for software suppliers to meet strict security and compliance requirements [16][17] - Recommendations include optimizing heterogeneous computing support, ensuring compatibility and stability across deployment scenarios, and balancing performance, cost, and energy efficiency for system integrators [16][17]

Core Viewpoint - Shanghai Suyuan Technology Co., Ltd. has changed its counseling institution from CICC to CITIC Securities, indicating a strategic shift to accelerate its IPO process in the AI chip industry [1][6]. Company Overview - Shanghai Suyuan Technology was established on March 19, 2018, with a registered capital of 387.32 million yuan. The company focuses on AI cloud computing products, including intelligent acceleration cards and high-density servers, applicable in various sectors such as smart cities and autonomous driving [2][3]. - The company has attracted significant investment from various institutions, including Tencent and state-owned capital, reflecting its strong market position [3]. IPO Counseling and Fees - The change in counseling institutions has led to a notable increase in the fee structure. CITIC Securities charges a higher fee rate of approximately 5%, compared to CICC's 1.56% [4][6]. - Suyuan Technology's IPO progress has been slower compared to its peers, having started its counseling in August 2024 and completed five phases by September 2025, while competitors have advanced more rapidly [5][6]. Market Position and Performance - In the first ten months of 2025, CITIC Securities ranked second in the number of IPOs sponsored, with nine companies, while CICC sponsored only three [8][9]. - CITIC Securities has demonstrated strong performance in the A-share market, with a significant increase in investment banking revenue, while CICC has excelled in the Hong Kong market [7][8].

Core Viewpoint - Shanghai Suyuan Technology Co., Ltd. is undergoing a change in its sponsorship for the IPO process, switching from China International Capital Corporation (CICC) to CITIC Securities, indicating a strategic move to accelerate its listing progress in the A-share market [1][8]. Company Overview - Shanghai Suyuan Technology was established on March 19, 2018, with a registered capital of 387.32 million yuan. The company focuses on AI cloud computing products, including intelligent acceleration cards and high-density servers, applicable across various industries [2][4]. - The company has attracted significant investment from various institutions, including Tencent and state-owned capital, reflecting its strong market position and growth potential [4]. Sponsorship Change - The change in sponsorship to CITIC Securities is expected to enhance the company's IPO prospects, as CITIC has a strong track record in the A-share market, contrasting with CICC's broader focus [8][11]. - The average fundraising amount and fee structure have changed significantly, with CITIC Securities charging a higher fee rate of approximately 5%, compared to CICC's 1.56% [5][8]. Market Context - Suyuan Technology's IPO progress has lagged behind its peers in the AI chip sector, having started its listing guidance in August 2024, while competitors have advanced more rapidly [8][11]. - In the first ten months of 2025, CITIC Securities ranked second in the number of companies sponsored for IPOs in the A-share market, while CICC sponsored only three companies during the same period [10][11]. Financial Performance - In the first three quarters of 2025, CITIC Securities reported investment banking revenue of 3.689 billion yuan, a year-on-year increase of 30.88%, while CICC's revenue was 2.940 billion yuan, up 42.55% [9][10].

Group 1: Robotaxi Innovation and AI Investments - Pony.ai and Xihu Group launched the first batch of Robotaxi innovation application trials in Shenzhen, marking the city's first intelligent connected vehicle pilot project [4] - Pony.ai's operational range currently covers key areas such as Nanshan, Baoan, and Qianhai, with plans for future expansion [4] - Apple is significantly increasing its investment in artificial intelligence, with projected operating expenses between $18.1 billion and $18.5 billion for the next quarter [8] Group 2: AI Collaborations and Acquisitions - Intel is in preliminary talks to acquire AI chip startup SambaNova, with potential valuation below the $5 billion from its 2021 funding round [6] - Nvidia announced a major AI collaboration plan with South Korean companies, including Samsung Electronics and SK Group, to accelerate AI development across key industries [5] - CoreWeave announced the acquisition of AI development platform Marimo to streamline workflows for generative AI developers [7] Group 3: AI Market Potential - Amazon's AI shopping assistant Rufus is expected to generate an additional $10 billion in annual sales [9] - The China Academy of Information and Communications Technology released a report on large model integrated machine applications, analyzing technology evolution and industry trends [3]

Core Insights - The market for large model integrated machines is expected to experience explosive growth from 2024 to 2025, with rapid market expansion anticipated [1][3] - The demand for large model integrated machines is projected to reach 150,000 units in 2025, 390,000 units in 2026, and 720,000 units in 2027, with the market size expected to exceed 500 billion RMB by 2027 [3][4] - The current industry landscape shows that 34% of companies have launched only inference integrated machines, while 17% have launched only training integrated machines, and 48.9% have launched both types [3][4] Industry Trends - The primary focus of the industry is on inference integrated machines, as many companies prefer to utilize existing models for application development rather than training their own [3][4] - There is a growing demand for specialized devices that integrate industry knowledge and optimize workflows, moving away from generic solutions [3][4] - The market is trending towards industry-specific integrated machines, with 21.3% of companies offering general-purpose machines and 31.9% offering industry-specific machines [4] Challenges and Opportunities - The industry faces challenges such as weak independent innovation capabilities, difficulties in adapting to application scenarios, and the need for improved security and privacy mechanisms [4][5] - Large model integrated machines are seen as a crucial breakthrough for democratizing large model technology and supporting the "Artificial Intelligence +" initiative [5]

Core Insights - The report titled "Research on the Application of Large Model Integrated Machines (2025)" was jointly released by the China Academy of Information and Communications Technology and the China Artificial Intelligence Industry Development Alliance [1] - The report provides a comprehensive analysis of the technological evolution, industry development dynamics, and application practices of large model integrated machines [1] - It aims to offer enterprises a thorough reference for the application of large model integrated machines and to forecast new trends in the industrialization of this technology in China [1] Industry Analysis - The report systematically analyzes typical scenarios, selection strategies, and implementation paths for large model integrated machines [1] - It emphasizes the importance of building a self-innovative, safe, and efficient intelligent ecosystem in China [1]

Core Viewpoint - The company is positioned as a leader in the domestic AI digitalization sector, acquiring Jintaike to enter the storage business, with expectations of exceeding performance growth due to a long-term boom in the storage chip industry and synergies from AI and energy businesses [1] Investment Highlights - Initial coverage with an "Overweight" rating, as the combination of storage chips, AI computing power, and energy is expected to drive growth, with the acquisition of Jintaike potentially opening up a growth curve in AI storage. If the acquisition is successful, projected revenues for the company's traditional business from 2025 to 2027 are estimated at 719 million, 953 million, and 1.191 billion yuan respectively, while Jintaike's revenues are expected to be 3.840 billion, 7.200 billion, and 10.000 billion yuan. The company is assigned a 175x PE for traditional business and an 80x PE for Jintaike's storage business, leading to a reasonable valuation of 20.223 billion yuan and a target price of 299.52 yuan per share [2] - Significant recovery in profitability in H1 2025, with R&D investments strengthening the technological moat. After a short-term performance pressure in 2024, H1 2025 revenue is expected to be approximately 160 million yuan, a year-on-year increase of 2.99%, with a net profit of approximately 3.78 million yuan, a substantial increase of 123%, successfully turning a profit. The AI computing power and large model business performed exceptionally well, with 2024 revenue projected at 124 million yuan, a year-on-year increase of 949.4% [2] AI Computing Power and Digital Energy Product System - The company has established a product system for AI computing power and digital energy, with government and content security solidifying its industry implementation capabilities. In 2024, digital energy revenue is expected to reach 305 million yuan, accounting for 49.3% of total revenue, while AI computing power and large model revenue is projected at 124 million yuan, making up 20.0% of total revenue. The company signed contracts for the Western Computing Center project early in 2024, with products like "KAIWU" industry large models and integrated machines being delivered in multiple locations. The virtual power plant smart control platform is operational at various administrative levels, and a technology research center has been established in collaboration with North China Electric Power University. The AI content security service "Jiumozhi" continues to serve central ministries and large enterprise clients [3] Acquisition of Jintaike and Storage Business - The acquisition of Jintaike aims to enhance AI storage capabilities, providing both scale and profit elasticity. Jintaike's storage business is projected to achieve revenues of 2.366 billion yuan and a net profit of 136 million yuan in 2024, with advantages in enterprise-level DDR4 and domestic DDR5 products, serving clients like Lenovo, Tongfang, and Haier. Major storage giants such as Samsung, Hynix, and Micron are expected to initiate production cuts starting at the end of 2024, with a 10%-15% capacity reduction planned for the first half of 2025, gradually phasing out older products. Demand from data centers and AI server enterprises is becoming dominant, driving both an increase in storage volume and quality, with significant enhancements in memory capacity and performance requirements. The demand for DDR5 and enterprise-level SSDs is expected to sustain long-term growth, with old products being phased out and high-end capacity becoming scarce, indicating a potential increase in both volume and price for the company's storage business orders [4]