Core Insights - The article emphasizes the transformative impact of artificial intelligence (AI) on global industries, highlighting "new quality productivity" as a core driver for high-quality development and a key component of national strategy [1][6] - The current internet infrastructure is undergoing a significant shift from mere connectivity to intelligent capabilities, necessitating the evolution towards a "new quality internet" [1][2] Group 1: IPv6 and New Quality Internet - China has established the world's largest IPv6 network infrastructure, with active users projected to reach 865 million by September 2025, and mobile IPv6 traffic accounting for 69.02% [2] - The focus has shifted from merely having a network to ensuring its strength and effectiveness in serving various industries, with a call for three systemic transitions: from capacity to service capability, from passive connection to intelligent evolution, and from network dominance to industry integration [2][3] Group 2: AI WAN and Technological Advancements - AI WAN (Intelligent IP Wide Area Network) is presented as a crucial feature of the new quality internet, aiming to empower existing IP networks through AI for efficient and precise operations [4] - Key capabilities of AI WAN include lossless intelligent transmission, which allows for efficient cross-regional computing power scheduling with minimal loss, and differentiated service experiences tailored to various AI applications [4][5] - The internal security framework of AI WAN shifts from external protection to embedded security, creating a comprehensive defense system against network attacks [5] Group 3: Industry Implications and Future Directions - The transition to a new quality internet is not optional but essential for supporting the industrialization of intelligence and the intelligentization of industries, directly influencing the depth and breadth of China's digital ecosystem in the AI era [3][6] - The development of AI WAN represents a significant step in the intelligentization of IP networks, paving the way for a smarter, more reliable, and secure digital future for China and globally [6]

Core Insights - The article discusses Huawei's launch of the AI UBB solution aimed at transforming ultra-broadband networks to stimulate new business growth through AI technology [1][7] - The solution encompasses four main components: AI FAN, AI OTN, AI WAN, and ADN, providing end-to-end coverage from home networks to carrier networks [1][3] Group 1: AI UBB Solution Components - AI FAN upgrades home gateways to a unified AI entry point, enabling seamless interaction through various modalities such as voice and video [3][4] - AI OTN enhances carrier networks by providing high-quality transport capabilities through intelligent analysis of business flow characteristics, ensuring low latency and high bandwidth [4][5] - AI WAN focuses on the precise identification of AI business types, including encrypted streams, and offers differentiated service packages to ensure optimal user experience [5][6] Group 2: Technological Advancements - The evolution of general artificial intelligence is accelerating, with significant advancements in large models and multi-modal capabilities, leading to a dramatic reduction in inference costs by approximately 100 times over the past two years [3] - The shift from traditional networks to intelligent networks is facilitated by the integration of edge computing and AI technologies, enhancing the overall performance and security of broadband services [6][7] Group 3: Strategic Vision - Huawei aims to collaborate with the industry to establish unified standards for AI UBB, fostering a mature application ecosystem and exploring new business models [7] - The ultimate goal is to achieve a high level of automation in network management, significantly reducing the need for manual intervention in network operations [7]

Core Viewpoint - The AI UBB (Ultra-Broadband) solution launched by Huawei aims to fully reconstruct broadband networks using AI technology, enhancing user experience and driving new business growth in the telecommunications industry [1][3][9]. Group 1: AI UBB Solution Overview - Huawei's AI UBB solution consists of four main components: AI FAN, AI OTN, AI WAN, and ADN, designed to cover home networks, bearer networks, and intelligent management systems [1][4]. - The solution leverages end-to-end device intelligence and capability enhancement to provide an optimal experience for AI applications, facilitating high-quality computing and efficient interconnectivity [1][4]. Group 2: AI FAN - AI FAN upgrades home gateways to serve as unified AI entry points, enabling seamless interaction through voice, video, and gestures [5]. - It supports the transition from gigabit to multi-gigabit networks, specifically upgrading from 10G PON to 50G PON technology to meet the demands of high-bandwidth applications [5]. Group 3: AI OTN - AI OTN enhances the quality of service for AI applications by providing low latency and flexible bandwidth allocation, addressing the needs of local computing centers [6]. - It utilizes AI analysis to proactively sense business types and SLA requirements, ensuring differentiated service guarantees [6]. Group 4: AI WAN - AI WAN employs AI flow perception models to accurately identify and manage various AI business types, including encrypted streams, ensuring high throughput and zero packet loss [8]. - It incorporates built-in security engines in routers to detect and mitigate threats in real-time, achieving comprehensive network security [8]. Group 5: ADN - ADN is built on a three-layer AI collaborative architecture centered around agents, facilitating the transition of UBB networks to higher levels of intelligence [9]. - The architecture aims to automate fault handling, network optimization, and experience assurance, significantly reducing the workload of operational staff [9]. Group 6: Industry Implications - The acceleration of general artificial intelligence presents unprecedented opportunities for the ultra-broadband industry, prompting Huawei to collaborate with industry partners to establish unified standards and explore new business models [9][10].