NIDA Releases High-Quality 10GE AI Campus Technical and Standard White Paper with Multiple Standards Organizations Worldwide

[Shanghai, China, July 27, 2025] At the AI + Network Enablement Enterprise Digital Intelligence Innovation and Development Forum, NIDA has jointly released the Technical White Paper on High-Quality 10GE AI Campus Network Construction (hereinafter referred to as the White Paper). As the world's first systematic technical specification for AI campus network construction, the White Paper defines the concept and connotation of high-quality 10GE AI campus network, proposes three architecture systems: application architecture, technical architecture, and physical architecture, and six dimensions of network quality assessment from A to F. In addition, the recommended network architecture and indicators are provided based on industries and scenarios. The release of the White Paper fills the gap in industry standards in the AI campus network construction field and marks the stage of AI campus network construction from "technical exploration" to "standard-led" development.

Guo Xiaoyan, chief engineer of China Northeast Design and Research Institute and chairman of the NIDA Campus Network Working Group; Yang Tao, secretary-general of the WAA Alliance; Zhao Shaoqi, president of the campus network domain of Huawei Data Communication Product Line; Lu Xi, deputy secretary-general of the Intelligent Branch of China Survey and Design Association; Yuan Li, standard director of ZTE Corporation Quan and Chen Jie, chief engineer of China Academy of Information and Communications, attended the launch ceremony.

Campuses become core carrier networks in the AI era, and upgrades are imminent.

As the core carrier of global economic activities, the park carries more than 80% of GDP and more than 90% of innovation activities. Guo Xiaoyan, Chairman of the NIDA Campus Network Working Group, pointed out: "The AI era has higher requirements on campus networks. Network technologies are constantly evolving. Different industries and scenarios have different network construction architectures and recommended specifications. 10GE and Wi-Fi 7 form the infrastructure foundation of next-generation campus networks. The Technical White Paper for High-Quality 10G AI Campus Network Construction is released, which summarizes the three-layer logical architecture and key technologies of AI campus networks. In the future, AI campus networks should be evaluated from six dimensions: (A) self-intelligent network, (B) 10GE ultra-broadband Ethernet, (C) ubiquitous connectivity, (D) defined experience, (E) energy saving, and (F) all-domain security. The Chinese version of the White Paper will be released at this forum. In the future, excellent cases from around the world will be included. Overseas partners will be invited to release the English version together to contribute China's strength to world standards. "

Technical specifications fill gaps in the industry and accelerate the implementation of Huawei's solutions.

Zhao Shaoqi, president of the campus network domain of Huawei Data Communication Product Line, said: "The AI campus is moving from vision to reality. First, the AI campus leverages AI to enable smart networks to connect everything. In addition, the AI campus also feeds back AI to enhance intelligence through networks and implements interconnection of all intelligent networks. On the whole, the AI campus should build a self-intelligent network with guaranteed experience, energy-saving, and all-domain security based on 10GE ultra-broadband and ubiquitous connections. Huawei's Star River AI campus network solution adheres to the experience-centric network construction concept. Through the wireless, application, O&M, and security experience upgrades, Huawei's Star River AI campus network solution works with customers and partners to build a high-quality 10GE AI campus. "

In the future, NIDA will continue to work with industry standards organizations and vendors to promote the implementation of core technical specifications in the White Paper, accelerate the in-depth integration of AI technologies and campus networks, and promote high-quality development of AI campus networks.