工信部开展城域“毫秒用算”专项行动 破解算力时延瓶颈

Core Viewpoint - The Ministry of Industry and Information Technology has launched a special initiative to develop a millisecond-level computing power network, aiming to enhance the responsiveness of computing resources within urban areas by 2027 [1][4]. Group 1: Millisecond Computing Power Network Development - The initiative focuses on creating a high-speed, low-latency network that allows for millisecond-level access to computing resources, addressing the gap between traditional network delays and real-time computing needs [1][4]. - By 2027, the goal is to establish a comprehensive urban millisecond computing power network capable of providing connectivity with less than 1 millisecond latency for computing centers and less than 10 milliseconds for application terminals [1][4]. Group 2: Actions to Achieve Goals - The initiative outlines three main actions: enhancing interconnectivity between computing centers, improving access to computing resources, and optimizing application responsiveness [1][4]. - Specific targets include achieving a unidirectional latency of less than 1 millisecond between medium and large computing centers by 2027, with at least 50% deployment of 400Gbps capacity [2][3]. Group 3: Technological Innovations and Infrastructure - The initiative emphasizes the need for advanced technologies such as task scheduling and intelligent network operation to facilitate dynamic coordination between computing and network resources [3][4]. - It also aims to enhance the performance of computing centers through the deployment of all-optical networks and innovative network protocols, improving communication efficiency for applications like artificial intelligence [4][5]. Group 4: Industry Impact and Applications - The millisecond-level computing power network is expected to drive commercial breakthroughs in high-value scenarios, such as autonomous driving and telemedicine, by significantly reducing response times [5]. - The initiative supports the "East Data West Computing" strategy by minimizing data transmission delays, thereby improving resource utilization efficiency across regions [4][5].