Core Insights - The article discusses the collaboration between Lenovo and Volcano Engine to create a "trusted computing solution" aimed at enhancing security in AI applications, particularly in personal cloud environments [1][3][7] - The solution emphasizes the importance of security in the context of rapid AI development and the need for reliable data protection during the transmission and processing of sensitive information [1][6] Group 1: Security and Performance - The Lenovo personal cloud solution is built on the Volcano Engine Jeddak AICC confidential computing platform, marking it as the first trusted computing solution in the domestic PC sector, offering exceptional performance and security [3][5] - The Jeddak AICC platform employs end-to-end encryption to ensure that user commands, uploaded files, and local private data are securely protected throughout the entire process, achieving "secure without network, secure with network" [5][6] - The collaboration ensures that robust security measures do not compromise performance, allowing users to receive instant and accurate intelligent feedback even in fully encrypted modes [6] Group 2: User Experience and Compatibility - The Lenovo personal cloud solution provides seamless integration across various smart devices, including PCs, smartphones, and tablets, enabling users to enjoy a consistent and secure AI experience [6] - The solution facilitates a smooth transition of AI tasks across devices, allowing users to start a task on one device and continue it on another without interruption, enhancing user experience [6] - The value of the trusted personal cloud solution is demonstrated in practical applications, such as knowledge base construction, where it enables a complete privacy computing loop without altering user habits [6] Group 3: Market Position and Future Prospects - Volcano Engine has established itself as a leader in the Chinese public cloud market with a 46.4% market share in large model invocation, collaborating with nine of the top ten global smartphone manufacturers [7] - The rapid iteration of large model technology and the explosive growth of AI application scenarios present both opportunities for efficiency gains and challenges regarding data privacy and algorithm transparency [7] - The expectation is set for Volcano Engine to collaborate with more smart terminal manufacturers to expand diverse application scenarios and build a comprehensive security service system for AI applications [7]

Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved Core Insights - The FORCE 2025 conference showcased the launch of Doubao Large Model v1.6 and Seedance 1.0 Pro, along with an Agent development platform and AI-native IDE, focusing on cost reduction and ecosystem expansion [1][16] - TRAE, the AI-native development platform, has over 1 million active users and covers 80% of internal developers, indicating a strong adoption and a shift towards a new development paradigm [2][17] - The integration of various AI tools into a closed-loop system enhances productivity and supports multimodal collaboration, task orchestration, and knowledge memory [2][17] - The VeRL framework supports self-evolution capabilities for AI, enabling strategy optimization and model evolution in multimodal environments [3][19] - The terminal ecosystem is expanding, with new products like the "super agent" smart TV solution enhancing user interaction and engagement [3][20] - Real-world applications of TRAE and other core products demonstrate the feasibility of AI-driven software development, allowing non-technical users to create applications from natural language inputs [4][21] - The report highlights the competitive landscape, noting that while domestic IDEs like TRAE are developing, they still lag behind established overseas products in terms of speed and multi-scenario support [5][22] Summary by Sections Event Highlights - Volcano Engine hosted the FORCE 2025 conference, launching significant AI products and platforms aimed at enhancing development efficiency and ecosystem integration [1][16] AI Development Tools - The introduction of 12 Agent tools forms a comprehensive ecosystem that supports AI-native productivity, emphasizing human-AI collaboration and task automation [2][17] AI Self-Evolution - The VeRL framework is positioned as a key infrastructure for advancing AI capabilities from controllable generation to autonomous self-improvement [3][19] Terminal Ecosystem Growth - Collaborations with companies like Coolpad to create integrated smart solutions are expected to drive user engagement and open new growth avenues [3][20] Practical Applications - Successful deployments of AI tools in various business scenarios validate the effectiveness of AI engineering systems in real-world applications [4][21] Competitive Landscape - The report notes the need for domestic IDEs to improve usability and performance to compete effectively with established international products [5][22]

Core Insights - The Chinese AI terminal industry is expected to experience a "tsunami-like" growth, driven by advancements in AI technology and the integration of AI into various devices [1][7] - AI terminals, which include smartphones, PCs, smart home devices, and robots, are designed to perform complex tasks and enhance user experience through AI algorithms [1][2] Group 1: Recent Developments in AI Terminals - The launch of Harmony OS computers, which integrate AI capabilities and support cloud collaboration, showcases the trend towards smarter devices [2] - Human-like robots, utilizing a "big and small brain" architecture, are set to scale in industrial and service sectors, indicating a shift towards automation [2] - The Ray-Ban Meta smart glasses, featuring AI-driven functionalities like voice control and real-time translation, are projected to sell over one million units in 2024, highlighting the market potential for AI wearables [2] Group 2: AI Models as the Driving Force - AI models are considered the "soul engine" of terminal intelligence, with open-source models like Deepseek enabling diverse applications in AI terminals [3] - The concept of "edge-cloud collaboration" enhances user experience by allowing local processing of simple tasks while leveraging cloud capabilities for complex operations [3] - Examples include Harmony OS computers generating professional reports and robots optimizing movement trajectories through this collaborative approach [3] Group 3: Hardware Industry Upgrades Driven by AI Terminals - The rise of AI terminals necessitates technological upgrades in the traditional consumer electronics supply chain, with a focus on enhancing hardware performance [5] - Traditional devices like smartphones and PCs are expected to see advancements in camera technology and overall hardware capabilities to meet increased performance demands [5] - New smart devices, such as smart glasses, are creating additional demands in optical display, storage, and structural components within the supply chain [5] Group 4: Market Opportunities and Investment Potential - Major companies like Meta, Huawei, and Xiaomi are entering the AI terminal market, leveraging their ecosystems and AI technologies to capture market share [7] - The maturation of the AI terminal ecosystem is anticipated to create significant value for the AI industry, with investment opportunities available through ETFs focused on AI and robotics [7]

Core Insights - The 2025 TUYA Global Developer Conference was held in Shenzhen, focusing on the intelligent transformation of industries through AI and IoT technologies [1] - Wu Di, head of intelligent algorithms at Volcano Engine, shared insights on how AI is reshaping industry ecosystems, emphasizing the exponential growth of AIoT chips and edge capabilities in the coming years [1] - The collaboration between Volcano Engine and Tuya Smart aims to enhance AI capabilities in various products, improving user interaction experiences through advanced technologies [4][5] Group 1: AIoT Development - AIoT chips and edge capabilities are expected to experience geometric growth, with edge devices acting as "data optimizers" to provide precise sensor inputs and smart information preprocessing [1] - The collaboration between Volcano Engine and Tuya Smart has led to significant improvements in voice command recognition accuracy by over 20%, even in noisy environments [4] - The integration of large language models enhances the ability of AI products to engage in creative dialogues, increasing user engagement and product appeal [4][5] Group 2: Edge-Cloud Collaboration - Edge devices and cloud models are essential for AIoT applications, especially in scenarios with limited connectivity or high privacy requirements [1] - The real-time conversational AI embedded hardware solution from Volcano Engine enables devices to understand and respond to user needs, providing personalized services [5] - Future collaborations will focus on exploring applications in smart health monitoring and energy efficiency, leveraging multi-modal technologies for enhanced user interactions [6]

Core Viewpoint - The release of the RTC open-source solution by Volcano Engine is seen as a pivotal moment for the smart hardware industry, shifting focus from mere hardware accumulation to enhancing human-device interaction [1][4]. Industry Challenges - The Chinese smart hardware industry faces significant challenges despite optimistic market predictions, such as the education sector's AI hardware market projected to reach 16.5 billion yuan in 2024. Mainstream products are experiencing functional saturation, leading to poor user interaction [3][2]. - Technical limitations and cost pressures hinder the commercialization of general humanoid robots, with their human-machine interaction capabilities failing to achieve revolutionary breakthroughs [2][3]. - The integration of large models with IoT devices is viewed as a potential solution, yet practical implementation remains fraught with challenges, including increased latency under weak network conditions and high access costs [2][3]. RTC Open-Source Solution Innovations - The RTC solution incorporates an "end-cloud collaboration" approach, integrating hardware streaming, voice recognition, voice synthesis, and large model technology, enabling smart hardware to engage in meaningful dialogue [5][6]. - The architecture is designed to be "hardware-friendly," allowing low-power devices to run complex dialogue models with optimized memory consumption below 300KB, facilitating rapid prototype development [5][6]. - The solution offers a natural dialogue experience, utilizing AI noise reduction and real-time voice detection to ensure seamless interaction even in noisy environments, maintaining stable communication under high packet loss [6][7]. - The "multi-modal brain" capability allows devices to understand visual cues and respond appropriately, transforming hardware from mere command executors to intelligent agents capable of observation and decision-making [7][8]. Ecosystem Collaboration - The RTC solution has attracted partnerships with over ten chip and module manufacturers, enhancing the ecosystem and enabling diverse applications, such as AI toys and smart sleep aids [7][8]. - The collaboration emphasizes the importance of an open ecosystem to accelerate innovation and foster healthy competition among industry players [13]. Future Insights - The industry must prioritize user value and emotional engagement in product development, moving beyond technical achievements to create meaningful user experiences [13]. - The ongoing evolution of AI technology is reshaping the hardware industry, with the key to success lying in translating complex algorithms into user-friendly applications [13][14].

Investment Rating - The report assigns a "Buy" rating for Lenovo Group [9]. Core Insights - Lenovo Group, established in 1984, has become the largest player in the PC industry, with a strong position expected to continue in the AIPC era due to its early investments in smart PC technology and a focus on user experience [2][4]. - The company is leveraging its ISG and SSG businesses to create a comprehensive IT architecture that integrates edge, cloud, and AI solutions, which is anticipated to enhance profitability [2][7]. - The AIPC (AI PC) segment is expected to drive a new cycle of demand in the PC market, with Lenovo leading the way by launching over ten AIPC products [4][6]. Summary by Sections Company Overview - Lenovo Group has been a key player in the PC industry for over 40 years, growing significantly after acquiring IBM's PC business and becoming the global leader in PC sales since 2013 [4][16]. - The company has initiated a transformation towards intelligent technology since 2016, focusing on AIPC to enhance user experience and maintain its market leadership [4][6]. AIPC Development - AIPC is characterized by its ability to provide personalized services and improve user interaction, positioning itself as a revolutionary advancement in human-computer interaction [35][39]. - The AIPC market is projected to grow significantly, with global penetration expected to reach 18% by 2024 and 70% by 2028, driven by strong demand for AI capabilities in PCs [53][54]. Business Segments - The IDG (Intelligent Device Group) remains the core revenue source, encompassing PCs, smartphones, and other electronic devices, while the ISG (Infrastructure Solutions Group) and SSG (Solutions and Services Group) are rapidly growing segments [6][21]. - The ISG focuses on AI servers and cloud infrastructure, while the SSG provides IT services and customized solutions, contributing to a robust ecosystem that supports Lenovo's overall strategy [7][21]. Financial Performance - Lenovo's revenue for FY2024 was reported at $56.864 billion, a decline of 8.21% year-on-year, with a net profit of $1.011 billion, down 37.13% [28]. - Projections for FY2025 to FY2027 indicate a recovery in revenue and profit, with net profits expected to reach $1.515 billion, $1.813 billion, and $2.504 billion respectively [7]. Market Position and Strategy - Lenovo's global PC market share is projected to reach 25.5% in 2024, maintaining its leadership position [16]. - The company is strategically positioned to capitalize on the upcoming replacement cycle in the PC market, driven by the discontinuation of Windows 10 updates in 2025 and the increasing adoption of AIPC technology [6][7].

港股研究丨公司深度丨联想集团（0992.HK） [Table_Title] AIPC 风云至，大象起舞展新篇 research.95579.com %% %% 1 %% %% 丨证券研究报告丨 报告要点 [Table_Summary] 联想集团成立于 1984 年，深耕 PC 行业 40 余载，至今成长为 PC 行业第一大巨头。PC 行业 经历长时期的成熟期后，有望迎来 AIPC 的换机周期。联想提前布局智能 PC 行业，同时基于 "私人秘书"理念提出 AIPC 五大核心特征，以 AI Agent 为核心要素，更契合用户需求，在 AIPC 时代有望继续保持龙头地位，并改善盈利能力。ISG 与 SSG 业务在 AI 浪潮下完善联想 "端-边-云-网-智"新 IT 架构的全面布局，ISG 扭亏后 AI 服务器有望加速放量，结合 SSG 为 客户提供一栈式服务。 分析师及联系人 [Table_Author] 杨洋 SAC：S0490517070012 SFC：BUW100 请阅读最后评级说明和重要声明 2 / 35 %% %% %% %% research.95579.com 2 联想集团（0992.HK） cjz ...