Core Insights - Huawei's smart substation solution was prominently featured at the 2025 Asia-Pacific Electric Power Conference, highlighting its advanced features and attracting significant industry attention [1] - The solution utilizes AI for perimeter security, achieving a 90% reduction in asset theft incidents and improving response times from minutes to seconds compared to traditional methods [1][3] Group 1: AI Empowerment - The integration of AI is recognized as a key driver for the transformation of traditional power systems into new energy systems, enhancing safety, stability, and flexibility [3][9] - Huawei's solution combines automation, digitalization, and AI to modernize power grid operations, addressing challenges such as reliance on manual operations and delayed response times [3][4] Group 2: Comprehensive Coverage - Huawei's smart power solutions encompass the entire electricity supply chain, including generation, transmission, transformation, distribution, and usage [5][6] - The focus on low-voltage distribution networks aims to tackle global challenges such as high line losses and low supply reliability, utilizing a cloud-based architecture for real-time monitoring and control [6][7] Group 3: Practical Applications - The effectiveness of Huawei's solutions is validated through real-world applications, such as AI models for predicting distributed photovoltaic power and load forecasting with over 90% accuracy [7][9] - AI is increasingly seen as a necessity in various power scenarios, supporting the safe and stable operation of power systems and optimizing resource allocation [9][10] Group 4: Future Communication Needs - The need for reliable communication networks is emphasized, as they are crucial for achieving the digitalization and intelligence of power systems [9][10] - Huawei's approach includes redefining digital scenarios and communication goals to meet future demands in the energy sector [10]

Core Insights - The article highlights the challenges faced by small and medium-sized enterprises (SMEs) in Sichuan regarding their digital transformation, emphasizing the need for lightweight and easily deployable intelligent solutions [1][19] - Huawei's "Kunling" initiative aims to support SMEs in Sichuan by providing tailored intelligent solutions and enhancing the distribution partner ecosystem [2][19] Group 1: Huawei's Initiatives - Huawei has upgraded its distribution model to a one-stop scenario-based solution approach, launching the "Hundred & Thousand Plan" to assist SMEs in their digital transformation [2] - The "4+10+N" scenario solutions were introduced to cater to various business needs, with over 280,000 users on the Huawei Kunling App [2][10] - The event showcased a mobile exhibition of the "4+10+N" solutions, allowing participants to experience intelligent applications in various sectors [17][19] Group 2: Partner Contributions - Shenzhen SanZhuo Optoelectronics, as a diamond-level partner, has provided customized intelligent solutions to over 500 enterprises in Sichuan, with a 65% year-on-year increase in orders for 2025 [3][5] - The company aims to expand its partner network to over 1,000 by 2026 and increase its overseas revenue share to 50% [3] - The company has also developed a new media team to enhance its marketing efforts, achieving significant engagement through short video content [5] Group 3: Market Strategy - Huawei's strategy focuses on building a competitive "partner + Huawei" ecosystem to expand its distribution market in Sichuan, targeting long-tail users [9] - The distribution business emphasizes ease of purchase, installation, and use, with various marketing support initiatives for partners [9] - The event included a recognition ceremony for outstanding distribution partners, highlighting successful local implementations of Huawei Kunling solutions [15][19] Group 4: Case Studies - China Broadcasting's Chengdu High-tech Zone branch shared its successful transformation using Huawei Kunling's intelligent store solutions, resulting in improved customer conversion rates and new revenue streams [12][14]

Group 1 - The core objective of urban data infrastructure construction is to develop a data industry ecosystem and promote high-quality development of the urban digital economy [5] - Huawei connects diverse partners, integrating data resources, technical capabilities, and scenario demands to assist cities in building a complete ecological loop of "data circulation - value transformation - scenario implementation" [5] - The discussion focuses on the four major core changes of data elements in the AI era, emphasizing the need for AI-Ready data infrastructure to handle data in the rapidly evolving AI technology landscape [8] Group 2 - Key personnel include Hu Shanyong, CTO and Chief Scientist for Huawei's Digital Government, who specializes in the integration of technology with government and public security sectors [2] - Zhao Meng, Director of Digital Solutions for Huawei's Government One Network Corps, has extensive experience in database and data lake integration [4] - Qiao Wei, Senior Expert in Industrial Policy at Huawei, focuses on data elements, data space, and AI datasets, contributing to the understanding of infrastructure capabilities needed for future AI competition [7]

Core Insights - The Shenzhen High-Tech Fair and the Shenzhen Financial Expo showcased significant advancements in AI, with total intended transactions and investment amounts exceeding 1.7 trillion yuan and 10.55 billion yuan respectively [1] - The "Shenzhen Innovation Four Sisters" (Huawei, Tencent, Ping An, BYD) presented their latest AI developments, highlighting their differentiated strategies in AI integration across various industries [1][2] Group 1: AI Strategies of the "Four Sisters" - Huawei aims to provide a "super base" for various industries, focusing on intelligent transformation through advancements in core technologies like chips and operating systems [2][3] - Tencent is developing an AI "super entrance" through its WeChat platform, intending to create an AI entity that facilitates user interactions and transactions within its ecosystem [4][5] - Ping An is launching three major AI services, including a "super customer service" that integrates various service sectors, enhancing user experience through a unified AI interface [12][13] - BYD is leveraging AI to transform smart mobility, showcasing innovations in autonomous driving and smart cockpit technologies, contributing to a significant increase in vehicle sales [15][16] Group 2: Market Impact and Future Projections - Shenzhen's AI industry is expected to grow significantly, with plans to exceed 3,000 AI companies and over 10 unicorns by 2026, with an annual growth rate of over 20% [2] - The AI applications in finance, healthcare, and automotive sectors are projected to enhance operational efficiencies and customer engagement, reflecting a broader trend of AI integration into everyday business practices [17]

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智能化时代，科技创新怎样才能更匹配现代智能生活需求？正在全国多所高校陆续展开的鸿蒙公开课· 总裁校园行活动，邀请包括华为常务董事长、产品投资委员会主任、终端BG董事长余承东，华为终端 BG CEO何刚等在内的华为各领域总裁，现场分享鸿蒙的场景体验和各项创新技术，结构鸿蒙生态魅力 的同时，帮助当代大学生更好理解智能技术创新需求，洞察前沿科技未来趋势。 总裁校园行活动助力科技创新环境培育 这是一个科技创新的时代，青年学生是未来科技发展的中坚力量，尤其是大学生，普遍处于科技认知的 懵懂阶段。鸿蒙作为国产自研数字底座，是我国重要的科技创新成果。自2019年发布以来， HarmonyOS为不同设备的智能化、互联与协同提供了统一的语言，为用户带来简洁、流畅、连续、安 全、可靠的全场景智能体验。 2024年，鸿蒙操作系统迎来有史以来的最大一次升级——HarmonyOS 5由内到外焕然一新，真正实现了 从内核架构、系统体验、应用生态的全方位升级。同时，华为终端产品从手机、平板、电脑，到智慧 屏、穿戴音频等全面搭载HarmonyOS 5。 全新升级的HarmonyOS 6，则带来更好看、更好玩、更好用、更智能、更安全、更丝滑、 ...

Core Insights - Huawei officially launched the AI container technology Flex:ai, aimed at addressing the low utilization of computing resources in the AI industry, which is facing a surge in demand for computational power [1] Group 1: Technology Innovations - The Flex:ai technology includes XPU pooling and scheduling software built on the Kubernetes platform, enabling precise management and intelligent scheduling of GPU and NPU resources to significantly enhance computing resource utilization [1] - The XPU pooling framework allows a single GPU or NPU card to be divided into multiple virtual computing units, improving average utilization by 30% in scenarios where one card runs one task [2] - The cross-node virtualization technology aggregates idle XPU resources from various nodes into a shared computing pool, allowing general servers to forward AI workloads to remote GPU/NPU cards, thus integrating general and intelligent computing resources [2] Group 2: Intelligent Scheduling - The Hi Scheduler, developed in collaboration with Xi'an Jiaotong University, enables optimal scheduling of heterogeneous computing resources by automatically sensing cluster loads and resource states, ensuring stable operation of AI workloads even under fluctuating loads [3] - The comprehensive open-sourcing of Flex:ai will provide access to core technological capabilities for developers across academia and industry, promoting the establishment of standardized solutions for efficient computing resource utilization in the global AI industry [3]

Core Viewpoint - Huawei officially launched the AI container technology Flex:ai, aimed at addressing the low utilization of computing resources in the AI industry, which is critical for its development [1][2]. Group 1: Technology Development - Flex:ai is a pooling and scheduling software based on the Kubernetes platform, designed to optimize the management and scheduling of GPU and NPU resources, significantly improving computing resource utilization [2]. - The technology integrates research from three universities and Huawei, achieving breakthroughs in three core areas: resource partitioning, cross-node resource aggregation, and multi-level intelligent scheduling [2][3]. Group 2: Key Innovations - Resource partitioning allows a single GPU or NPU to be divided into multiple virtual computing units, improving average utilization by 30% in scenarios where small AI models are trained [2]. - Cross-node resource aggregation creates a "shared computing pool" from idle computing resources across nodes, enabling general servers to forward AI workloads to remote GPU/NPU resources [3]. - The Hi Scheduler intelligently matches AI workloads with computing resources, ensuring optimal resource allocation even under fluctuating loads [3]. Group 3: Open Source Initiative - The comprehensive open-sourcing of Flex:ai will provide developers from academia and industry access to all core technological capabilities, fostering global innovation and standardization in heterogeneous computing virtualization [4].

Core Viewpoint - The consensus in the industry is that the development of 6G is a gradual process rather than an immediate leap, correcting some overly ambitious perspectives on the technology race [2][3] Group 1: Development Process - The industry recognizes that 6G will not simply be an enhancement of 5G but will achieve data transmission speeds 10 to 100 times faster than 5G, with latency reduced to one-tenth of 5G [3] - The development of 6G is structured in three phases: the first phase identifies key technical directions, the second focuses on typical scenarios and performance indicators, and the third involves the development of pre-commercial devices [3] - The current stage of 6G development is the second phase, emphasizing the importance of leveraging existing 5G capabilities as a foundation for future advancements [3] Group 2: Standardization and Innovation - The first version of 6G standards should not aim for perfection but should significantly improve upon existing 5G/5G-A standards, allowing for future iterations [4] - The integration of artificial intelligence with 6G is expected to transform mobile terminals, but the evolution from traditional devices to intelligent, multi-form wearable technology will require time and adaptation [4][5] - Over 300 key technologies related to 6G are being developed in China, focusing on terminal innovation through iterative technological advancements [5] Group 3: Industry Implications - 6G is anticipated to drive the development of upstream and downstream industries, including chips, devices, application development, and system integration, creating a new trillion-dollar industry ecosystem [3] - The gradual evolution of communication technology is essential to avoid resource misallocation and to ensure that both 5G and 6G can progress in a complementary manner [2][3] - Maintaining a realistic perspective on the timeline for 6G development is crucial, as significant innovations typically result from continuous optimization rather than sudden breakthroughs [5]

Core Viewpoint - The consensus in the industry is that the development of 6G is a gradual process rather than an immediate leap, correcting some overly ambitious perspectives on the technology race for the future [1][4] Group 1: Development Process - There are views that suggest skipping the 5G-A phase to achieve 6G directly, which could disrupt the technological evolution chain and weaken the foundation for 6G [1] - The development of 6G is structured in three phases: the first phase identifies key technical directions, the second focuses on typical scenarios and performance indicators, and the third involves the development of pre-commercial devices and testing of key products [2] - The current stage of 6G development is the second phase, emphasizing the importance of leveraging the existing capabilities of 5G as a foundational element for 6G [2] Group 2: Technical and Industrial Implications - 6G is expected to achieve data transmission speeds 10 to 100 times faster than 5G, with latency reduced to one-tenth of that of 5G, significantly enhancing performance metrics [2] - The integration of communication, perception, computation, and intelligence in 6G will support applications like digital twins and large-scale connectivity, driving the development of upstream and downstream industries such as chips, devices, and system integration [2] - The establishment of the first version of 6G standards does not need to be perfect but should show significant improvements over existing 5G standards, allowing for future iterations and refinements [3] Group 3: Innovation and Collaboration - The innovation of terminals in 6G will not happen overnight; it will require deep integration between the automotive and communication industries, as well as a lengthy process of technological adaptation and cost optimization [3] - Over 300 key technologies related to 6G are being developed in China, focusing on terminal innovation through iterative technological advancements [3] - The industry must maintain a clear understanding that significant innovations are the result of continuous optimization rather than sudden breakthroughs, emphasizing the importance of standard-setting and technology integration [4]