Core Insights - Guangdong plans to establish 100 10G optical network projects within this year, with over one-third of these projects focused on factory scenarios [1][2] - The province aims to enhance the intelligent manufacturing foundation through three main aspects: building information infrastructure, promoting collaborative computing and networking, and integrating data with reality [1][2][3] Group 1: Information Infrastructure - As of August 2025, Guangdong has built 431,000 5G base stations and 2,529,000 10G PON ports, leading in scale across China, achieving "gigabit access in every town and 5G coverage in every village" [1][2] - The network construction includes a 400G all-optical network connecting cities in the Guangdong-Hong Kong-Macao Greater Bay Area, targeting ultra-low latency of 1 millisecond within Shaoguan, 3 milliseconds across the Bay Area, and 6 milliseconds province-wide [2] Group 2: Collaborative Computing and Networking - The province is advancing the establishment of a computing hub in Shaoguan, with telecom data centers capable of supporting a capacity of 10,000 cards [2] - The Qianhai integrated computing service platform has been developed, connecting 18 computing resource pools with a total computing scale exceeding 14,000 P, offering services such as computing scheduling, trading, application, and security [2] Group 3: Data and Reality Integration - By August 2025, Guangdong has established over 7,600 5G industry virtual private networks, with nearly 27 million 5G IoT terminal users [2] - The province is promoting the "Hundred-Thousand" action for 5G factories, with 79 factories recognized in the national 5G factory directory over three years [2] - The upgrade of the national top-level node for identification resolution in Guangzhou aims to standardize key processes and ensure interconnectivity of upstream and downstream data [2][3] Group 4: Future Initiatives - Future initiatives will focus on accelerating the deployment of 5G-A and 10G optical networks in manufacturing parks, optimizing computing infrastructure layout, and providing comprehensive AI services to support intelligent manufacturing [3]