[Haikou, Hainan, August 17–18, 2026] At TM Forum Accelerate Week 2026, during the Enterprise Autonomous Networks Summit themed "Autonomous Networks Unleashing Innovation, Empowering Enterprises with Practice," the Network Innovation and Development Alliance (NIDA) released the first batch of four technical evaluation results for the education sector in the Autonomous Networks (AN) domain. The evaluated institutions were China University of Mining and Technology, Southeast University, Nanjing Agricultural University, and Xi'an Jiaotong University. On-site at the conference, NIDA Secretary-General Joey Deng officially signed and issued the evaluation certificates to representatives from the four universities.Throughout nearly three months of evaluation preparation, NIDA strictly adhered to the T/NIDA-012-2025 Test Method for Agent-Based Campus Network L4 Operation and Maintenance standard, entrusting its authorized laboratory—CTTL (China Telecommunication Technology Labs) under the China Academy of Information and Communications Technology (CAICT)—to conduct rigorous technical testing and evaluation on the campus autonomous network systems of the four universities. An expert panel then conducted an objective, professional, and meticulous comprehensive review of the results based on the testing standards, with all four universities achieving outstanding technical evaluation scores. This AN education sector evaluation activity stands as a testament to NIDA's continuous deep cultivation in the field of autonomous networks, representing a key focus area for NIDA's Testing and Certification Department. Moving forward, NIDA will continue to deepen its testing and certification operations within the AN education sector while expanding into other industries such as finance.At this summit, to support the large-scale implementation and clarify the evolutionary path of high-level autonomous networks, industry organizations including TM Forum, NIDA, and CAICT—together with Huawei, Xi'an Jiaotong University, China University of Mining and Technology, and Shenyang Institute of Technology—jointly launched the "Autonomous Network Evaluation Initiative."

[Bali, Indonesia, August 14, 2026] Network Innovation Forum Asia 2026, hosted by Network Innovation and Development Alliance (NIDA), was successfully convened on August 14. Under the theme Re-Architecting Network for AI, the forum brought together representatives from Asia-Pacific communications industry associations, telecommunications operators, equipment manufacturers, universities and research institutions for in-depth discussions on AI-driven next-generation network evolution, development of the Internet of Agents (IoA), single-channel 400G high-speed interconnection, IPv6 network security, AI-native networks, and cross-regional industrial standard synergy. The forum also witnessed important deliverables, including the release of the White Paper on Autonomous Networks for the Education Sector and the signing of Industrial Cooperation Memorandums of Understanding (MOU).Denny Setiawan, Director of Digital Infrastructure Policy and Strategy, Ministry of Communications and Digital of the Republic of Indonesia, delivered the opening address. He stated that Indonesia regards digital infrastructure as the core underpinning for realizing Indonesia Digital Vision 2045. The country has issued the Indonesia Digital Infrastructure Development Roadmap 2026–2030, setting two core development goals: gigabit broadband and nationwide intelligent networks. Next-generation technologies including Wi-Fi 7, AI security architecture, IPv6 and high-performance data center networks serve as the foundational support for industrial parks, smart enterprises and national computing infrastructure. They can well accommodate the market’s growing demand for low latency, high reliability and ultra-high-concurrency services. The Indonesian government continues to encourage cross-stakeholder industrial collaboration. It warmly welcomes global technology enterprises and industry associations to deepen local presence, jointly achieve phased targets set out in the roadmap, and steadily advance the long-term digital vision for 2045.Sarwoto Atmosutarno, Chair of MASTEL, pointed out in his address that the AI wave brings new stringent requirements for network bandwidth, latency and reliability, creating an urgent need for Indonesia to comprehensively restructure its intelligent network system. MASTEL is tackling industry challenges via industry standard development and international cooperation. Tangible progress has been made in the joint financial data center network standardization project with NIDA. The two organizations have established an in-depth collaborative partnership since 2024: they jointly released the NET5.5G Industry Initiative, signed a strategic cooperation memorandum of understanding in 2025, and jointly implemented multiple standards R&D projects in 2026. Going forward, both sides will continue to join forces to build world-class digital infrastructure and support Indonesia in realizing the Golden Indonesia Vision 2045.During the keynote session, Joey Deng, Secretary General of NIDA, took the stage first. He systematically analyzed the transformative driving force of AI for Next-Generation Networks and sorted out the core context of the industry’s long-term evolution. He noted that empowered by AI, application systems are evolving at an accelerating pace, posing severe challenges to network infrastructure. However, infrastructure development requires a lengthy cycle, resulting in network development failing to keep up with the evolution of applications. This challenge will become even more acute as AI applications gain deeper traction. To better underpin development in the AI era, we must proactively plan and build network infrastructure tailored to future scenarios and requirements. In addition, he shared achievements of NIDA’s co-construction of pioneer urban networks across the Asia-Pacific Region and officially launched “Campus Autonomous Network Technical Whitepaper”, delivering comprehensive network construction solutions and practical references for digital education scenarios.Sarwoto Atmosutarno (Chair of MASTEL), Teguh Prasetya (Chairman, MASTEL IoT, AI & Big Data Chapter), Lei Sun (Director of the Smart Infrastructure Center, Information Construction and Management Office, China University of Mining and Technology), Junjun Chen (Senior Engineer, Computer Center, Peking University), Jinsuo Gao (Director, Education Industry, Data Communication Product Line, Huawei) jointly attended the white paper launch ceremony.Yingzhen Qu, Member of the Internet Architecture Board, Co-chair of IETF LSRWG and RTGWG, delivered a keynote presentation on the Internet of Agents (IoA). She pointed out that AI and networks are forming a mutually deep enabling relationship. First, AI empowers traditional networks to realize predictive operations and maintenance, intent-driven automation, network self-healing, and AI-native security protection. Second, networks in turn support AI services, which require lossless GPU interconnection, dedicated communication protocols for intelligent agents, and refined AI-aware telemetry capabilities. The Internet is evolving from the traditional paradigm connecting humans and end devices into an Agent-based Internet supporting billions of intelligent agents. Communication interaction patterns are being upgraded from linear human-machine request-response models to exponential interaction models featuring autonomous collaboration and continuously iterative inference among massive intelligent agents. Established mature IETF standards including SRv6, IOAM, QUIC and BGP, together with ongoing working groups such as MASQUE, RATS, FANN and WebBotAuth, have laid a solid technical foundation for network architectures in the AI era. They cover full-chain core capabilities including programmable forwarding paths, real-time traffic telemetry, secure transmission, trusted identity and automated configuration.Jannik Hammel Nielsen, IEEE 802.3cg / Ethernet-APL Industry Representative; Co-Chair, NIDA 400G per Lane MSA, interpreted the latest progress of 400G per Lane technology. He stated that the massive bandwidth demand driven by large-scale AI deployment and high-scale networking constitutes the core driver for Ethernet to evolve from 200G per lane to 400G per lane. 400G per Lane represents a systematic project requiring integrated and coupled design across electrical channels, optical modules, modulation schemes (PAM4/PAM6), forward error correction algorithms and physical layer architectures. At present, passive electrical channels including packages, PCBs and connectors remain the biggest bottleneck hindering industrial adoption. The choice between PAM4 and PAM6 technology routes essentially boils down to system-wide performance trade-offs. PAM4 can leverage the existing industrial ecosystem yet requires channel bandwidth at the 112 GHz level. PAM6 eases channel bandwidth pressure, but introduces challenges such as signal-to-noise ratio degradation, higher FEC overhead and increased hardware implementation complexity. While the optical transmission sector generally favors the PAM4 solution, electrical layer link technologies are still undergoing convergence among multiple stakeholders.Leo Liu, Digital Infrastructure and Innovation Director, ASEAN, China Unicom, pointed out that the AI industry has shifted from a training-dominated era to an inference-dominated era, and Token consumption will emerge as a new core billing metric. According to institutional estimates, inference computing power will account for 66% of the world’s total AI computing power in 2026, and demand for intelligent agent-driven Tokens will surge 24 times over the next four years. The core value of operators will also transition from merely owning computing assets to delivering intelligent integrated services. China Unicom has defined its core strategy of transforming from a connectivity service provider to an integrated AI service provider. Built upon the foundational connectivity base, the operator layers four components: cloud platforms, GPU/AI computing pools, industry models and APIs, and Token billing, forming a four-dimensional value system of “Connectivity × Computing Power × Token × Industrial Ecosystem”. Leveraging the unified service portal of the Xingluo International Computing Platform, China Unicom aggregates more than 45 industry large models, over ten computing power suppliers and diverse heterogeneous computing resources. Through three cooperation models — bundled product offerings, local computing supply, and joint co-innovation for vertical industries, China Unicom works with local partners in Indonesia and Southeast Asia to explore the regional AI service market.Wuger Xue, VP, Huawei Data Communication Product Line (Strategy & Industry Development), delivered a keynote speech titled “AI-Net: Building Network Infrastructure for AI Era”. He shared Huawei’s innovative practices and industry insights on network technologies in the AI era. AI applications are gaining traction at an annual compound growth rate exceeding 50%. Large-scale deployment of scenarios including personalized education, precision healthcare and intelligent manufacturing imposes stricter requirements on underlying networks for high concurrency, low latency and automated operations and maintenance. Aligned with the industry consensus on AI-Net, Huawei advances comprehensive reconstruction of network architectures across three key scenarios: campus, wide area and data center. Campus networks evolve from basic wireless access to intelligent connectivity; wide area networks prioritize deterministic experience and security resilience; data center networks overcome computing power bottlenecks for large models through compute-storage-network synergy, establishing a high-throughput, highly reliable computing foundation. Huawei calls for deeper collaboration with governments, industry partners, research institutes and universities in regional countries to jointly build end-to-end ubiquitous, secure and efficient intelligent connectivity, unlock the potential of the digital economy, and support the delivery of national AI industry development objectives.Navaneethan C Arjuman, Vice Chair, Numbering and Electronic Addressing Working Group, MTSFB; Chair of APAN IPv6 and 5G WG, shared the status of IPv6 industrial development. Globally, IPv6 traffic now accounts for 45%–50% of total traffic, and industries are accelerating the migration from dual-stack network architectures toward IPv6-first and even IPv6-only networks. Nevertheless, supporting security monitoring and defence systems still adopt outdated approaches inherited from the IPv4 era, resulting in widespread blind spots in network visibility. Full migration to IPv6-only networks will give rise to four emerging security risks: unregulated hidden IPv6 subnets, incomplete migration of firewall policies, large-scale DDoS attacks launched by IPv6 IoT botnets, and advanced persistent threats (APT) covertly establishing command-and-control channels over IPv6. Multi-dimensional coordinated measures are required to address these challenges: deploying AI-driven anomaly detection and machine learning-based threat prediction systems, building a zero-trust security framework compatible with Stateless Address Autoconfiguration (SLAAC), and integrating post-quantum cryptography. Efforts should also be made to fill skill gaps among operation and maintenance personnel, upgrade legacy security hardware, and promote the implementation of unified IPv6 security standards across the industry.Teguh Prasetya, Chairman, MASTEL IoT, AI & Big Data Chapter, delivered an in-depth analysis of development opportunities and practical challenges for Indonesia’s digital infrastructure. He pointed out that Indonesia boasts ASEAN’s largest and fastest-growing digital market, with its digital economy valued at approximately USD 100 billion in 2025. The country plans to expand its national total data center computing power to 1.65 GW by the end of 2026. Nevertheless, four major challenges severely restrict industrial implementation: uneven regional infrastructure caused by its archipelagic geography, a shortage of 3.97 million digital talents, fragmented spectrum resource management, and constrained power supply. Looking at ASEAN and the broader Asia-Pacific region, the deep integration of 5G and AI, large-scale expansion of data centers, and regional integration under the ASEAN Digital Economy Framework Agreement (DEFA) have unlocked broad development prospects. However, development is constrained by inconsistent spectrum standards among nations, regional power supply bottlenecks and low uptake of digital services. Insufficient regional coordination significantly weakens the overall industrial growth potential. Globally, AI-native networks and Open Radio Access Network (Open RAN) are gradually moving from pilots to commercial deployment. Even so, the telecommunications industry faces headwinds including an annual growth rate below 3%, persistently high operating costs and a global shortage of senior communications professionals, putting pressure on industrial investment willingness. Only by advancing three parallel strategies — full-scale deployment of high-density computing infrastructure, coordinated cross-ASEAN policy planning, and multi-level digital talent cultivation — can Indonesia fully unlock the long-term value dividends of network development in the AI era.The forum Panel session was moderated by Joey Deng (Secretary General of NIDA). Panel participants included Teguh Prasetya (Chairman, MASTEL IoT, AI & Big Data Chapter), Navaneethan C Arjuman (Vice Chair, Numbering and Electronic Addressing Working Group, MTSFB; Chair of APAN IPv6 and 5G WG), Darren Goh (GM of Carrier Business, ASEAN, China Unicom). The panel held extensive exchanges on existing pain points of the network industry in the AI era, core challenges requiring priority resolution, and the enabling value of international industrial collaboration. The panelists reached a consensus: notable disparities exist in network development levels across countries, stemming from multiple factors including geographical conditions, historical industrial foundations and local talent pools. Cross-border industrial collaboration enables effective learning from proven practices in mature markets. Leveraging unified industry standards can avoid redundant trials and errors, establish regular channels for talent exchange and learning, and collectively accelerate the overall development of digital infrastructure across the Asia-Pacific region.Another key outcome of the forum was the signing for international industrial cooperation. As NIDA accelerates its global footprint, the alliance keeps expanding cross-industry and cross-regional industrial partners. Onsite, Ganapathy Sirgunavel, CEO of CLOUD ANALYTICS SDN. BHD., and Joey Deng, Secretary General of NIDA, signed a Memorandum of Understanding (MoU) on behalf of their respective organizations. Going forward, the two parties will jointly deepen efforts in the co-development of global communication network industry standards.This is the first industry forum hosted by NIDA in the Asia-Pacific region. The event received strong support from organizations including MASTEL of Indonesia, the APAC IPv6 Council and Malaysia MTSFB. As an international organization, NIDA has long been committed to advancing the development of global network infrastructure through strengthened international cooperation, enabling broader public access to the benefits brought by the digital and AI era.

To actively respond to the national "AI + Education" strategy, seize the opportunities at the start of the 15th Five-Year Plan, and accelerate the intelligent upgrade of campus information infrastructure, the "Education Intelligent Network Technology Forum" was held in Yinchuan, Ningxia on July 31. The forum was guided by the China Association for Educational Technology (CAET), co-hosted by the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and the Network Innovation and Development Alliance (NIDA), and co-organized by Tsinghua University, Xi'an Jiaotong University, Harbin Institute of Technology, Southeast University, Xiamen University, and the University of Electronic Science and Technology of China.More than 100 participants attended the forum, including Zeng Dehua, Vice President of CAET; Zhang Tao, Vice President of Lanzhou Jiaotong University; heads of network and information centers from the six co-organizing universities; as well as heads of informatics from over 70 universities nationwide, experts and scholars in education, and enterprise representatives. The attending guests focused on the deep integration of "AI Empowerment" and "Communication Networks" to discuss the evolution trends of education intelligent network technology and share experiences in campus intelligent network construction.In his speech, Zeng Dehua, Vice President of CAET, noted that educational digitalization and intelligence serve as the core engine for high-quality educational development, and communication networks—acting as the "central nervous system" of campus digitalization—make intelligent construction particularly critical. He proposed that the committee in preparation will focus on the deep integration of AI and networking to build a self-architecting and self-healing next-generation education network equipped with intelligent perception, dynamic scheduling, and active defense capabilities; while simultaneously advancing the construction of collaboration platforms, formulation of industry standards, talent cultivation, and cutting-edge technology research. He also introduced that CAET's "AI + Education" Innovative Application Skills Competition has established an Intelligent Network Operation and Maintenance (O&M) Track, open for registration to teachers and students nationwide.中国教育技术协会副会长 曾德华The work meeting section was chaired by Suo Zhihai, Nominated Vice Chairman of the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and Director of the Network and Information Center at Xi'an Jiaotong University.Suo Zhihai, Nominated Vice Chairman of the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and Director of the Network and Information Center at Xi'an Jiaotong UniversityZhang Xiaoping, Nominated Chairman of the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and Director of the Informatics Office at Tsinghua University, presented the overall blueprint for the committee. He stated that the comprehensive integration of artificial intelligence into diverse campus scenarios continues to drive campus networks toward intelligent upgrades. The committee plans to advance work across seven main directions: topic research, practice exchanges, standards formulation, talent cultivation, research publications, collaborative innovation, and international cooperation. By linking the collaborative chain of industry, academia, research, and application, the committee aims to facilitate the transformation of education networks from "connectivity-driven" to "intelligence-driven," providing practical support and reference frameworks for smart campus implementations.Zhang Xiaoping, Chairman of the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and Director of the Informatics Office at Tsinghua UniversityA series of launching ceremonies took place at the forum. Main leaders from CAET and the committee (in preparation) jointly launched the committee's preparatory work and the "AI + Education" Innovative Application Skills Competition—Higher Education AI-Empowered Campus Network Technology and O&M Track, marking the official launch of all operations of the committee.The keynote sharing session was chaired by Xu Zhuobin, Nominated Supervisor of the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and Director of the Information and Network Center at Xiamen University. Representatives from Harbin Institute of Technology, Peking University, Huawei Technologies Co., Ltd., and Southeast University successively shared their practical achievements in campus intelligent network construction.Xu Zhuobin, Supervisor of the CAET Education Intelligent Network Technology Professional Committee (In Preparation) and Director of the Information and Network Center at Xiamen UniversityYu You, Executive Deputy Director of the Cybersecurity and Informatics Office at Harbin Institute of Technology, shared innovative practices in building new-quality campus networks. Aligned with the university's "one university, three campuses, and multi-regional research institutes" layout, Harbin Institute of Technology coordinated the construction of a high-speed interconnected dedicated network, enabling secure intercommunication across all campuses and regional research institutes. To meet the demands of educational digitalization and intelligence, the university has advanced network intelligent perception and AI autonomous O&M, deploying a campus network operation and management AI hub along with integrated sensing-and-communication solutions to achieve visual situational awareness, proactive fault identification, and closed-loop resolution, while actively exploring the application of agent networking in university scenarios.Yu You, Executive Deputy Director of the Cybersecurity and Informatics Office at Harbin Institute of TechnologyShang Qun, Assistant to the Director of the Computing Center and Director of the Infrastructure O&M Department at Peking University, shared practices in AI-empowered campus "macro-O&M." Addressing the O&M pressure brought by campus network expansion in the AI era, Peking University adopted a "+AI" engineering approach to construct an AIOps intelligent O&M platform. By integrating traditional O&M systems with large-model capabilities, the platform achieves proactive fault pre-warning, auxiliary localization of complex issues, and end-to-end O&M across multiple network domains, driving the transformation and upgrade of campus network O&M models.Shang Qun, Assistant to the Director of the Computing Center and Director of the Infrastructure O&M Department at Peking UniversityYang Jiayuan, President of the Enterprise Domain for Huawei's Data Communication Product Line, expressed that artificial intelligence is accelerating the reshaping of the education industry and giving rise to numerous new scenarios and applications. Huawei has fully upgraded its Xinghe AI High-Quality Campus Network Solution, refining solution capabilities across four key dimensions—teaching, research, management, and services—to support educational digitalization and intelligence transformation in the AI era. Looking ahead, Huawei will drive intelligent network technology toward super-intelligence, beyond connectivity, and sustainable development, continuously injecting new momentum into educational digital and intelligent construction.Yang Jiayuan, President of the Enterprise Domain for Huawei's Data Communication Product LineZhao Liye, Director of the Network and Information Center at Southeast University, shared experience in building "Digital & Intelligent Southeast." ICT infrastructure serves as the core foundation for "Digital & Intelligent Southeast." Relying on "One Network, One Platform," Southeast University ensures the smooth operation of university-wide services and leverages intelligent network technology to continuously elevate campus intelligence, incubating multiple innovative smart campus applications. The university will continue to practice the construction philosophy of "strengthening the foundation with networks, governing education with data, unifying cloud, network, and security O&M, and pursuing ultimate intelligence," outputting a Southeast University benchmark model for digital and intelligent campus upgrades.Zhao Liye, Director of the Network and Information Center at Southeast UniversityThis forum built a high-level exchange platform for intelligent network technologies in the education sector, fostered consensus among industry, academia, research, and application, and laid a solid foundation for propelling campus networks from a "connectivity-driven" to an "intelligence-driven" strategic evolution, thereby supporting the high-quality development of educational digitalization and intelligence.

Official English Translation On July 30, 2026, the 2026 First Plenary Meeting of the Cybersecurity Working Group of the Network Innovation and Development Alliance (NIDA) was successfully held in Beijing. The meeting was successively chaired by Working Group Chair Xu Yuna, Vice Chair Zhang Xiaomei, and Secretaries Wang Bingzheng and Liu Chunchi.Working Group Chair Xu Yuna delivered a comprehensive overview of the overall objectives, foundational work, and 2026 annual standardization work plan of the NIDA Cybersecurity Working Group. The Cybersecurity Working Group will focus sharply on cutting-edge directions such as artificial intelligence security, next-generation Internet security, SASE, cloud-network-security integrated convergence, and novel cybersecurity technologies. It will formulate security product standards and security network construction standards, carry out security technology innovation and deployment incubation, conduct security testing and certification, and advance international standardization exchanges and cooperation.The meeting reviewed and approved four agenda items: the review of the draft submission and project name change application for Security Technical Requirements for Artificial Intelligence Firewalls (formerly Technical Requirements and Testing Methods for Artificial Intelligence Security Gateways); the draft review of Cybersecurity Technical Requirements Based on Traffic Detection and Analysis; the draft review and project name change application for Technical Guidelines for Resilience Enhancement of Operator IP Bearer Networks (formerly Security Guidelines for Operator Deployment of IPv6 Networks); and the project conclusion of Research Topic on Security Standardization of Next-Generation Internet and Intelligent Computing Centers. Additionally, the meeting discussed the work plan proposal for the series SRv6 Security Framework and Deployment Guidelines, presented by expert Navaneethan C. Arjuman from Multimedia University, Malaysia.The meeting invited Zhou Ziqing, a relevant official from the NIDA Secretariat, to introduce the standardization work procedures of the NIDA Alliance and the usage of the AllianceHub online document management platform, providing a detailed explanation of the full-process specifications covering standard project initiation, draft preparation, review, name changes, project conclusion, and publication deployment. The meeting also invited Bo Yang, a relevant official from NIDA's Campus Working Group, to conduct a special seminar on the integration of campus network construction and security, exchanging integrated construction pathways for network architecture and security protection centered around real-world construction cases in key industries such as hotel clusters, education and healthcare, and industrial parks.Conducted in a hybrid online-and-offline format, the meeting brought together over 30 representatives from member units, including China Electronics Standardization Institute, China Academy of Information and Communications Technology (CAICT), China Electronic Product Reliability and Environmental Testing Research Institute (CEPREI), China Mobile, China Unicom, Huawei, ZTE, Topsec, Sangfor Technologies, NSFOCUS, Netentsec, DBAPPSecurity, CETC Cybersecurity, Hillstone Networks, Techvalley, Telematics Security, NetBridge, Yuntian Security, GuanAn Information, Ankai Tech, China Testing & Security Technologies, APAC IPv6 Council, and Multimedia University, Malaysia.Participating representatives unanimously agreed that against the backdrop of the deep integration of next-generation Internet, artificial intelligence, and security protection technologies, cybersecurity standardization serves as a critical leverage point for defending against new types of cyberattacks and guaranteeing the continuous, safe, and trustworthy operation of ICT infrastructure in the AI era, as well as a vital driving force for promoting the healthy development of the cybersecurity industrial ecosystem. Moving forward, the NIDA Cybersecurity Working Group will actively advance the resolutions formed at this meeting and submit them to the NIDA Secretariat to progress each proposal according to standard procedures; continuously expand the standard system around emerging directions such as intelligent computing security, zero-trust secure campuses, IPv6 security, AI-oriented cybersecurity protection technologies, AI-enhanced cybersecurity protection technologies, and the continuous evolution of security products; and drive the transformation of standard outcomes into product R&D, pilot deployment, and industry evaluation, thereby leveraging standardization to safeguard the safe, stable, and sustainable development of global fixed networks and leading the continuous, healthy growth of the cybersecurity industrial ecosystem.

[Xiong'an, July 28, 2026] The Intelligent Internet Sub-Forum of the 5th China IPv6 Innovation and Development Conference was successfully held in Xiong'an New Area. The sub-forum was hosted by the Expert Committee for Promoting Large-Scale IPv6 Deployment and Application, co-organized by the China Academy of Information and Communications Technology (CAICT), Huawei Technologies Co., Ltd., and Alibaba Cloud Intelligence Group, and supported by the Network Innovation and Development Alliance (NIDA).At the Intelligent Internet Sub-Forum, Deng Yi'ou, Secretary-General of NIDA, presented the details of the Agent Networking Infrastructure (ANI) Multi-Source Agreement (MSA) project, and a launching ceremony for the ANI MSA Preparatory Committee was held. Industry and academic representatives jointly stepped onto the stage to initiate the project, including Cao Jiguang, Deputy Director of the Institute of Technology and Standards at CAICT; Liu Peng, Technical Manager at the Infrastructure Network Technology Research Institute of China Mobile Research Institute; Tang Jing, Director of the Future Network Research Center at China Telecom Research Institute; Cao Chang, Director of the Next Generation Internet Research Center at China Unicom Research Institute; Professor Xu Mingwei from Tsinghua University; and Zhang Yusheng, Deputy Director of the Protocol R&D Department of Huawei's Data Communication Product Line.The Agent Networking Infrastructure (ANI) MSA aims to build an open, global technical community to construct open, trustworthy, and high-performance agent networking infrastructure for operators and vertical industry application scenarios. Its core vision is to design an open, efficient, and scalable agent networking infrastructure architecture tailored to industry needs, maximize compatibility with mainstream application-layer technology ecosystems, and build an open reference implementation, thereby accelerating scenario and protocol consensus for multi-agent networking and promoting its deployment across diverse industries.As AI agents become the core interconnected entities of the Internet, building an agent networking infrastructure tailored for the intelligent era has become an urgent priority. The establishment of the ANI MSA Preparatory Committee represents a powerful effort to address this call of the era—promoting the implementation of multi-agent network communications across various industries through an open industrial collaboration platform, and marking a solid step forward for China in driving the deep integration of IPv6 and artificial intelligence to construct agent networking infrastructure.NIDA will continue to join hands with partners across the industry to jointly advance technical innovation and ecosystem building for agent networking infrastructure, injecting new momentum into the construction of a cyber power and a Digital China.