> **来源：[研报客](https://pc.yanbaoke.cn)** **Summary of 2025 Computing Metropolitan Area Network White Paper** This white paper, titled "算力城域网白皮书 (2025版)", examines the development and implementation of computational metropolitan area networks (COMAN) to support the growing demands of artificial intelligence (AI) and high-performance computing (HPC). It highlights the rapid advancements in AI, driven by models like large language models, which require massive computational resources, and emphasizes the need for efficient network integration to optimize resource utilization. Key sections include: - Introduction: Discusses AI and computing trends, such as the exponential growth in data volumes and the push for digital transformation, leading to the concept of COMAN. - Development Trends: Covers industry policies and growth, noting China's strategic focus on AI with initiatives like the "人工智能+" action plan, and the need for high-speed networks. - Network Demands: Details various scenarios like massive data entry, distributed training, cloud-edge collaboration, and low-latency inference, requiring features such as elastic bandwidth, high-throughput paths, and wide-area lossless transmission. - Architecture: Outlines a modular design with components like算力 POD for user access,云网 POP for resource connection, and出口功能区 for inter-network coordination. - Key Technologies: Includes elastic bandwidth, ultra-high throughput, wide-area lossless protocols (e.g., RDMA), and intelligent mapping to ensure reliable and efficient service. - Applications: Presents use cases such as efficient data transfer, secure training with data separation, collaborative model training across clusters, and real-time inference deployment. - Conclusion: Advocates for industry cooperation to advance COMAN technology, enabling smarter, more resilient networks for the digital economy. Overall, the white paper calls for the evolution toward intelligent, flexible, and secure networks to handle the AI-driven computational needs, ensuring efficient resource sharing and deployment across urban and regional scales.