就如何贯彻落实《"人工智能+制造"专项行动实施意见》（下称《实施意见》），工业和信息化部负责 人在国务院新闻办公室日前举行的新闻发布会上明确表示，将通过抓好技术创新、抓好融合应用、抓好 企业培育、抓好生态建设和抓好安全治理，加快推动人工智能（AI）产业高质量发展。 除了加大整合与协同力度外，要切实、有效提升算力资源利用水平，还必须有序推进高水平智算设施布 局，加快建设全国一体化算力网监测调度平台，同时开展智算云服务试点，推动大模型一体机、边缘计 算服务器和工业云算力部署，增强智算资源供给能力，深挖算力使用需求和应用场景，深化算力供需对 接。在中观层面，更应注重构建差异化的高水平行业模型，开发适应制造业实时性、可靠性和安全性要 求的高性能算法模型，包括培育重点行业大模型，发展"云—边—端"模型体系，持续提升模型泛化能 力；同时，针对细分应用场景打造轻量化小模型，并支持大模型与小模型协同创新。 在抓好技术创新方面，重点是加快突破高端训练芯片、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技术，目标是到2027年，我国人工智能关键核心技术实现安全可靠供给，产业规模 和赋能水平稳居世界前列。与此同时， ...

Policy Impact - The implementation of the "Artificial Intelligence + Manufacturing" policy will provide clear guidance and development opportunities for the computing power industry chain[4] - In the short term, the policy is expected to stimulate market confidence and direct funds towards computing infrastructure, increasing demand for computing hardware and intelligent computing center construction[5] - In the long term, the policy aims to address structural imbalances, core technology bottlenecks, and insufficient application scenarios in the computing power industry[15] Current Market Analysis - As of September 2025, the total scale of computing power centers in China has grown from 5.2 million racks to 12.5 million racks, with an annual growth rate of 30%[6] - There is a structural imbalance in the computing power market, with general computing power being relatively surplus while intelligent computing power is in short supply[6] - The geographical mismatch in computing power resources is evident, with high demand in the eastern regions and underutilization in the western regions[7] Core Technology Challenges - Domestic manufacturers hold a low market share in high-end AI training chips, with major markets dominated by foreign companies like NVIDIA and AMD[8] - The software ecosystem is monopolized by international standards like CUDA, creating barriers for domestic chip manufacturers to gain market acceptance[9] Application and Development Opportunities - The policy encourages the construction of high-level intelligent computing facilities and the deployment of computing resources in industrial scenarios, which will benefit related enterprises[5] - The expected market expansion will create a trillion-level incremental market as computing demand shifts from the internet to broader industrial applications[15] - The policy will promote the development of domestic high-end computing hardware and software ecosystems, enhancing the competitiveness of the computing power industry[13][14]

Core Objectives and Quantifiable Indicators (2027) - The implementation opinion establishes a "five-in-one" development goal focusing on technology, application, product, entity, and ecosystem, with clear and quantifiable core indicators to form a closed-loop traction system [2][4] - By 2027, the plan aims to cultivate 2-3 globally influential leading enterprises and identify 1,000 benchmark companies, while nurturing specialized "little giant" enterprises and manufacturing champions [4] Key Tasks and Implementation Pathways - The implementation opinion outlines nine key tasks, focusing on four dimensions: - Strengthening computing power supply capabilities and developing high-level industry models [6][7] - Expanding high-value application scenarios across industries and processes [9][10] - Upgrading intelligent equipment and fostering new business models [11] - Enhancing ecosystem support through market entity cultivation, safety governance, and international cooperation [12][13] Policy Highlights and Innovative Breakthroughs - The "1+2" policy system provides comprehensive coverage, addressing the core issues of policy implementation, industry transformation, and enterprise application [14] - Quantifiable indicators enhance policy operability, providing clear guidance for local assessments and enterprise implementation [14] - The dual-driven approach of scenarios and demand aims to match supply and demand accurately, addressing the challenge of "heavy technology, light application" [14] Realistic Challenges - Data governance and integration difficulties arise from the fragmentation of manufacturing data across various systems and devices [15] - A significant talent gap exists, particularly for professionals who understand both artificial intelligence technology and manufacturing processes [15] - High transformation costs and long cycles pose challenges for small and medium-sized enterprises [16] - Model adaptation and security risks coexist, complicating the deployment of AI models in industrial settings [16]

Core Viewpoint - The "Artificial Intelligence + Manufacturing" initiative aims to deeply integrate AI technology with the manufacturing industry, enhancing innovation and application capabilities by 2027 [1] Group 1: Key Objectives - By 2027, China aims to achieve reliable supply of key AI technologies, maintain a leading position in industry scale and empowerment, and promote the application of 3-5 general large models in manufacturing [1] - The initiative plans to launch 1000 high-level industrial intelligent entities and create 100 high-quality datasets in industrial fields, along with promoting 500 typical application scenarios [1] - The goal includes nurturing 2-3 globally influential ecosystem-leading enterprises and a number of specialized small and medium-sized enterprises, while establishing 1000 benchmark enterprises [1] Group 2: Key Tasks - The initiative outlines seven key tasks including innovation foundation, intelligence upgrade, product breakthroughs, entity cultivation, ecosystem expansion, safety protection, and international cooperation [1] - In the area of innovation foundation, there will be a focus on enhancing AI computing power, supporting the development of high-end training chips, and creating high-performance algorithm models tailored for manufacturing [2] - The intelligence upgrade will involve empowering key industries, promoting smart factory development, and encouraging leading enterprises to implement AI applications [2] Group 3: Product Development - The initiative emphasizes the iteration of smart equipment, integrating AI technology into the development and manufacturing of major technical equipment like aircraft and ships, and advancing smart low-altitude equipment [3] - There will be a push for upgrading smart terminals, fostering innovation in AI-enabled products such as smartphones and smart home devices, and establishing testing bases for humanoid robots [3] - Policies will be reinforced to guide enterprises in differentiated development, prevent "involution" competition, and attract more social capital for investment in AI and manufacturing technologies [3]

Group 1 - The core viewpoint of the news is the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight departments, aiming to enhance AI technology in the manufacturing sector by 2027 [1] - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position in industry scale and empowerment levels [1] - The initiative plans to promote the deep application of 3-5 general large models in manufacturing, create 100 high-quality industrial data sets, and establish 500 typical application scenarios [1] Group 2 - The initiative supports breakthroughs in key core technologies such as high-end training chips and edge inference chips to strengthen AI computing power supply [2] - It emphasizes the development of intelligent chip hardware and software, and the establishment of a national integrated computing network monitoring and scheduling platform [2] - The plan includes the promotion of AI cloud services and the deployment of industrial cloud computing capabilities [2] Group 3 - The initiative encourages the development of high-performance algorithm models tailored for the manufacturing industry's real-time, reliability, and safety requirements [3] - It aims to foster a "cloud-edge-end" model system and enhance the generalization capabilities of industry-specific large models [3] - The establishment of a public service platform for models and supporting tools is also part of the plan [3] Group 4 - The initiative promotes the integration of AI technology into the research, manufacturing, and operation of major technical equipment such as large aircraft and ships [4] - It aims to accelerate the development of intelligent medical equipment and autonomous driving features in smart connected vehicles [4] - The focus is on enhancing the capabilities of industrial robots and developing new-generation AI numerical control systems [4] Group 5 - The initiative focuses on key scenarios such as industrial inspection and remote medical care, accelerating the commercialization of new terminals like AR/VR wearable devices and brain-computer interfaces [5] - It supports breakthroughs in edge models and application toolchains for smart devices [5] - The plan includes the establishment of humanoid robot pilot bases and training grounds to promote innovation in embodied intelligent products [5]

Core Viewpoint - The Ministry of Industry and Information Technology, along with eight other departments, has issued the "Implementation Opinions on the 'Artificial Intelligence + Manufacturing' Special Action" to enhance the supply of computing power for artificial intelligence [1] Group 1: Strengthening AI Computing Power Supply - The initiative emphasizes the development of intelligent chips through hardware-software collaboration, supporting breakthroughs in high-end training chips, edge inference chips, AI servers, high-speed interconnects, and intelligent cloud operating systems [1] - It aims to systematically advance the layout of high-level intelligent computing facilities and accelerate the construction of interconnected computing power platforms and a national integrated computing network monitoring and scheduling platform [1] - The plan includes pilot projects for intelligent cloud services and promotes the deployment of large model integrated machines, edge computing servers, and industrial cloud computing power to enhance the supply capacity of intelligent computing resources [1]

Core Viewpoint - The article discusses the implementation of the "Artificial Intelligence + Manufacturing" initiative by eight government departments, aiming to enhance China's AI capabilities in manufacturing by 2027, with a focus on developing core technologies, models, and applications in the industry [1]. Group 1: AI Technology Development - By 2027, China aims to achieve secure and reliable supply of key AI technologies, maintaining a leading position globally in terms of industry scale and empowerment levels [1]. - The initiative plans to promote the deep application of 3-5 general large models in manufacturing, create 100 high-quality industrial data sets, and promote 500 typical application scenarios [1]. Group 2: Chip and Computing Power - The initiative emphasizes the need to strengthen AI computing power supply by supporting breakthroughs in high-end training chips, edge inference chips, and AI servers [2]. - It aims to advance the layout of high-level intelligent computing facilities and establish a national integrated computing network monitoring and scheduling platform [2]. Group 3: Model Development and Application - There is a focus on developing high-performance algorithm models that meet the real-time, reliability, and safety requirements of the manufacturing industry [3]. - The initiative encourages the lightweight deployment of models and the development of a public service platform for models and supporting tools [3]. Group 4: Smart Equipment and Robotics - The initiative promotes the integration of AI technology into the research, manufacturing, and operation of major technical equipment such as large aircraft and ships, as well as the development of drones and intelligent low-altitude equipment [4]. - It aims to accelerate the innovation and clinical application of intelligent medical equipment, including surgical robots and intelligent diagnostic systems [4]. Group 5: New Terminal Devices - The initiative supports the industrialization and commercialization of new terminal devices such as AR/VR wearable devices and brain-computer interfaces, focusing on key scenarios like industrial inspection and remote medical care [5]. - It aims to foster innovation in embodied intelligent products and establish benchmark production lines for humanoid robots [5].

Core Viewpoint - The document outlines the implementation opinions for the "Artificial Intelligence + Manufacturing" special action, emphasizing the enhancement of AI computing power supply and the development of intelligent chip technology [1] Group 1: AI Computing Power Supply - The initiative aims to strengthen the supply of AI computing power [1] - It promotes the collaborative development of intelligent chips, focusing on breakthroughs in high-end training chips, edge inference chips, AI servers, high-speed interconnects, and intelligent cloud operating systems [1] Group 2: Infrastructure Development - The plan includes orderly advancement of high-level intelligent computing facility layout [1] - It accelerates the construction of interconnected computing platforms and a national integrated computing network monitoring and scheduling platform [1] Group 3: Service and Resource Enhancement - The document mentions the initiation of pilot projects for intelligent cloud services [1] - It aims to enhance the supply capacity of intelligent computing resources through the deployment of large model integrated machines, edge computing servers, and industrial cloud computing [1]

Core Viewpoint - The Ministry of Industry and Information Technology, along with eight other departments, has issued the "Implementation Opinions on the Special Action of 'Artificial Intelligence + Manufacturing'" which emphasizes the strengthening of artificial intelligence computing power supply [1] Group 1: AI and Manufacturing Integration - The initiative aims to promote the collaborative development of intelligent chips and software/hardware [1] - Support is provided for breakthroughs in key core technologies such as high-end training chips, edge inference chips, AI servers, high-speed interconnects, and intelligent computing cloud operating systems [1] Group 2: Infrastructure Development - The plan includes an orderly advancement of high-level intelligent computing facility layouts [1] - It accelerates the construction of computing power interconnection platforms and a national integrated computing network monitoring and scheduling platform [1] Group 3: Service and Resource Enhancement - Pilot projects for intelligent computing cloud services will be launched [1] - The initiative aims to enhance the supply capacity of intelligent computing resources through the deployment of large model integrated machines, edge computing servers, and industrial cloud computing [1]