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The Institute of Standards of China Academy of Information and Communications Technology has released the "Research Report on Ethernet Technology for 10 Gigabit AI Park Network"
Source: | Author:佚名 | Published time: 2026-10-09 | 17 Views | 🔊 Click to read aloud ❚❚ ▶ | Share:
Recently, at the 2026 Ten Gigabit AI Park Network Symposium, the Institute of Technology and Standards of China Academy of Information and Communications Technology released the "Research Report on Ethernet Technology in Ten Gigabit AI Park Network", which was interpreted by Ao Li, Vice President of China Academy of Information and Communications Technology.

With the continuous deepening of the digital transformation of the industry and the rapid development of artificial intelligence (AI) technology, various intelligent terminals and heterogeneous IoT devices are widely connected to the park network. In the scenario of deep integration of massive IoT terminals and computing power services, the bandwidth demand of the park network continues to rise, and the network complexity is rapidly increasing. With the dynamic changes in user terminal access behavior, the demand for self intelligence capabilities such as global security, intelligent perception, and self diagnosis and self-healing in park networks is becoming increasingly strong. The business model and operational paradigm of park networks are undergoing a new round of evolution and upgrading. Therefore, building a 10 gigabit AI park network for the intelligent era has become an inevitable path to promote the digital transformation and upgrading of the park.

Recently, at the 2026 10G AI Park Network Symposium, the Institute of Technology and Standards of China Academy of Information and Communications Technology (CAICT) released the "Research Report on Ethernet Technology in 10G AI Park". Vice President of CAICT, Ao Li, read and understood the report.

The report combines the application of technology in the AI era, deeply analyzes the current development trend of network business in the park, and objectively analyzes the difficulties and challenges faced by the park network. Based on mainstream network building technologies in industry parks, research has been conducted on the 10 Gigabit AI park network technology based on Ethernet architecture. The four core features and corresponding key technologies of 10 Gigabit access, wireless convergence, global security, and network self intelligence have been systematically elaborated; And combined with typical application cases from seven key industries, comprehensively demonstrate the landing mode and application effectiveness of key technologies in the network of 10G AI parks in different business scenarios. In order to provide systematic reference for the industry and technology decision-making, and to assist in the standardized construction and large-scale deployment of the 10G AI park network.

  Report Core Viewpoints
  1. AI applications change the data traffic interaction mode, management and operation methods in the park, exacerbating network security risks
  AI applications are changing the interaction mode of enterprise office business, promoting data sharing between various business platforms, giving rise to massive terminal and intelligent agent access, and revolutionizing the network management and operation mode. AIAgent has the ability of independent thinking, task planning, and autonomous execution, which brings new security risks to the park network.
  2. The park network faces new challenges in terms of access bandwidth, integrated hosting, security governance, and operation and maintenance management
  One is that the proportion of upstream traffic has increased, and the traditional traffic model dominated by downstream traffic has changed, resulting in limited bandwidth for gigabit access. The second issue is that the traditional chimney style network construction results in the inability to communicate data between various systems, making it unsuitable for the integrated business model of industrial parks in the AI era. Thirdly, traditional network security technologies based on fixed rules cannot achieve accurate threat assessment in the AI era. Fourthly, the complexity of network operation and maintenance management has surged, and traditional manual operation and maintenance methods are no longer able to meet the agility and real-time reliability requirements of the network as a "production system".
  3. Ten gigabit access, wireless convergence, global security, and network self intelligence are the four major characteristics of the ten gigabit AI park network

10 Gigabit access builds a unified base from wired, wireless, and deterministic networks in three dimensions: the wired side evolves towards 10 Gigabit to eliminate bandwidth bottlenecks, the wireless side effectively manages air interface competition with Wi Fi 7 advanced capabilities, and industrial scenarios introduce TSN to ensure microsecond level deterministic forwarding.

Wireless fusion upgrades APs to "sensing integrated" anchor points, natively integrating IoT, sensing, and positioning capabilities, breaking the data island and protocol fragmentation dilemma caused by traditional chimney style network construction, simplifying the architectural complexity and operation costs brought by traditional multi protocol IoT deployment, and evolving the network from a connecting pipeline to a smart space carrier.

The four-dimensional protection system of global security covers assets, connections, space, and privacy, implementing closed-loop control over all elements such as users, terminals, data, and applications, achieving continuous risk assessment and minimum permission control for all objects, processes, and spaces. Security protection has evolved from passive interception to active immunity.

Network self intelligence uses network digital twins as the data base, and based on SDN technology, provides campus data collection and standardized processing to achieve precise digital mapping of physical networks. Network intelligent agents are responsible for decision-making and execution, providing AI based edge decision-making capabilities through network devices, promoting the park to leap towards self perception, self decision-making, and self-healing.

  4. The park network and AI have formed a deep symbiotic and mutually driven evolutionary relationship
  The network is upgraded through integrated sensing and computing, providing high certainty multimodal data input and high-performance transmission guarantee for the continuous iteration of AI models; At the same time, AI native technology is fully integrated into the network's operation and security architecture, driving the network to achieve a high degree of autonomous governance. The deep integration of this technological paradigm will fundamentally reshape the strategic value of enterprise IT infrastructure and become the core driving force for enterprise digital transformation.