Core Viewpoint - Runjian Co., Ltd. has signed a strategic cooperation framework agreement with JD Technology to promote the commercialization of AI technology across various sectors, including smart agriculture and digital tourism [1] Group 1: AI Applications - The collaboration will integrate resource advantages to drive the commercial application of AI technology in fields such as smart agriculture, intelligent parks, digital cultural tourism, and smart retail [1] Group 2: Cloud Computing - Both companies will deploy dedicated high-performance computing nodes at the Wuxiang Cloud Valley Intelligent Computing Center, with Runjian Co. committing to increase computing power investments for multiple phases of construction [1] - The partnership aims to strengthen "Runjian Cloud" and leverage JD's extensive market channels for business expansion [1] Group 3: AIDC Collaboration - The two companies will explore the establishment of a computing power service system that includes clusters, maintenance, and scheduling platforms [1]

Core Insights - JD Advertising, JD Cloud, and Huawei Kunpeng have established a deep technical collaboration focusing on smart advertising, large models, and cloud computing [1][3] - The partnership aims to address the technical bottlenecks in advertising technology under high concurrency scenarios, marking a significant upgrade in the e-commerce marketing technology ecosystem [1][3] Group 1: Technical Collaboration - The collaboration will leverage the core technological advantages of each party to tackle common industry challenges related to real-time retrieval and intelligent reasoning in advertising [3] - A joint innovation project will be established to focus on "low-latency inference" core technology, optimizing from hardware to software and application layers [3] - The partnership will enhance container affinity scheduling and service quality assurance capabilities, ensuring advertising services remain stable during peak traffic events [3] Group 2: Empowering Merchants - The technological outcomes of this collaboration will directly enhance JD's advertising products and services, providing tangible value to brand merchants [4] - The advertising system's response speed will significantly improve, allowing merchants to reach potential customers faster and enhance exposure efficiency [4] - Enhanced model computing power and optimization capabilities will drive more precise advertising recommendation algorithms, improving click-through and conversion rates for merchants [4] - The overall stability and elasticity of the JD advertising system will reach new heights, supporting large-scale marketing activities during peak periods [4]

Core Insights - JD Cloud ranks among the top three in product capability in the "2024 China AI Infra Platform Computing Power Management Layer Market Vendor Competitiveness Quadrant Analysis" due to its technological innovations in heterogeneous computing power scheduling and GPU pooling management [1][3] Market Overview - The AI Infra platform has established a three-layer capability system: computing power management layer, model management layer, and application management layer, with the computing power management layer dominating the market, expected to reach a market share of 64.6% in 2024 [3] JD Cloud's Strategy - JD Cloud focuses on "heterogeneous computing power + extreme inference" to build a new generation of AI infrastructure, leveraging JD Group's diverse business scenarios [3] - The core platform, JoyScale, optimizes hardware and software collaboration to support high-performance heterogeneous computing with domestic chips like Huawei Ascend, Cambricon, and Haiguang [3] JoyScale AI Computing Power Platform - JoyScale AI computing power platform has four core advantages: - **Extreme Computing Performance**: Features an industry-leading kernel pooling engine, enhancing overall inference performance by 50% [5] - **Efficient Heterogeneous Computing Scheduling**: Supports over ten domestic computing power cards and improves resource utilization by 70% [5] - **Deep Domestic AI Ecosystem Collaboration**: Collaborates with various domestic chip manufacturers to enhance AI computing efficiency [5] - **Support for Over 20 AI Training and Inference Frameworks**: Compatible with frameworks like PyTorch, TensorFlow, and others [5] Product Matrix - JD Cloud has developed a one-stop large model product matrix, supporting state-owned enterprises in rapidly deploying large models and AI applications, thereby reshaping AI productivity [6]

Core Viewpoint - Cloudflare and JD Cloud have announced an expansion of their partnership to accelerate the deployment and scaling of artificial intelligence inference for global developers [1] Group 1 - The collaboration aims to enhance the capabilities of developers in deploying AI inference solutions [1] - This partnership signifies a strategic move to leverage Cloudflare's infrastructure alongside JD Cloud's resources [1]

Core Insights - JD Group successfully held the "TGT Fuel Journey" technology open day event, focusing on the integration of cutting-edge technologies like artificial intelligence with industry trends [1] - The event provided a platform for outstanding technical talents to engage with technology leaders, showcasing JD's technology strategy, industry practices, and talent philosophy [1][3] Group 1: Talent Development - JD Group's SEC Vice Chair and CEO Xu Ran emphasized that talent is paramount, stating that all achievements stem from the team, and the primary virtue of corporate management is talent cultivation [3] - The company aims to create a fertile technological environment, encouraging young technical talents to transform cutting-edge technologies into industrial value while fostering curiosity and creativity [3] Group 2: AI Strategy - During the technology roundtable, JD's technology leaders shared insights on their AI strategy, with a focus on the competitive landscape of cloud computing [5] - JD Cloud's core advantage lies in its deep understanding of complex retail, logistics, and health scenarios, with a commitment to substantial investment in talent and resources [6] - The research institute has evolved from early-stage exploration of frontier technologies to a dual mission of "forward-looking research" and "key technology breakthroughs," emphasizing innovation as its core [6] Group 3: E-commerce Transformation - JD's AI strategy is not only about applying new technologies but also about creating a closed loop between self-developed technologies and business scenarios, aiming to build the next generation of AI-driven e-commerce [6] - Two employees who joined through the TGT program shared their experiences, highlighting JD's commitment to nurturing technical newcomers and its open and inclusive technical culture [6] Group 4: Immersive Experience - The event included immersive experiences such as a technology market, JD Pilot Space visits, and in-depth business line exchanges, allowing participants to experience the application of JD's technology in real-life scenarios [8] - The "TGT Fuel Journey" is a key component of the TGT program, designed to help young technical talents understand JD's mission of "technology-based, making life better" [8] - JD plans to continue investing in and nurturing top technical talents, creating an open, cutting-edge, and challenging platform to attract and support global top technical talents [8]

Core Insights - The article emphasizes the successful path taken by JD Cloud in the context of domestic chip and software development, highlighting the shift from policy-driven to market-driven approaches by 2025 [1][14] - JD Cloud's methodology of "gradual true replacement" is gaining traction as a practical model for domestic innovation, focusing on real business scenarios to validate technology [4][6] Group 1: Domestic Chip and Software Development - By 2025, domestic chips are expected to account for 40% of the market, with a notable increase in the performance of domestic software stocks [1] - The AI industry in China is transitioning from "usable" to "usable and effective," with AI workloads projected to dominate cloud computing by 2029 [1][10] Group 2: Challenges in Domesticization - The main challenges in domesticization are categorized into three areas: usability, controllability, and trustworthiness [2][3] - Usability issues arise from the need for stability in high-demand environments, particularly with the coexistence of X86 and ARM architectures [2] - Controllability concerns involve hidden costs related to software restructuring and personnel training, which can delay domesticization efforts [3] - Trustworthiness is critical, as businesses cannot afford the risks associated with complete system overhauls [3] Group 3: JD Cloud's Approach - JD Cloud's strategy includes multi-chip management to ensure system availability despite individual chip failures [5] - The gradual replacement strategy allows for controlled risk and cost management by starting with small-scale pilot projects [5] - JD Cloud leverages real business scenarios to refine its hardware and software solutions, ensuring continuous upgrades [5][9] Group 4: Technological Advancements - JD Cloud's JoyScale AI computing platform integrates various domestic chips, providing efficient computing solutions validated through extensive real-world testing [12] - The JoyBuilder model development platform enhances training and inference speeds while significantly reducing application costs [13][14] - Data security is prioritized through the use of national encryption standards and secure sandbox technologies, ensuring compliance and safety [14] Group 5: Market Perception and Future Outlook - The market's perception of domesticization is shifting from mere availability to the effectiveness and value of solutions [14] - By 2025, the focus will transition from policy-driven initiatives to commercially viable solutions that withstand extreme testing scenarios [14] - Companies like JD Cloud, which continuously enhance their capabilities, are expected to thrive in the competitive landscape of digital sovereignty [14]

Core Viewpoint - The article emphasizes that JD Cloud is successfully navigating the path of domestic innovation and transformation, focusing on practical applications and real business scenarios to drive its technological advancements [1][3]. Group 1: Domestic Innovation and Market Trends - By 2025, domestic chips are expected to account for 40% of the market, with a shift from policy-driven to market-driven dynamics in the domestic software sector [2]. - The AI industry in China is transitioning from "usable" to "usable and effective," with AI workloads projected to dominate cloud computing by 2029 [2]. - The increasing demand for digital infrastructure is pushing for advancements in computing power and system reliability [2]. Group 2: Challenges in Domesticization - The main bottlenecks in domesticization are not technological gaps but rather ecosystem fragmentation and high migration costs [5]. - The three core challenges identified are: 1. "Usability" issues, where existing domestic solutions need to prove stability under high-demand scenarios [5]. 2. "Controllability" concerns, as full replacement involves significant hidden costs related to software restructuring and training [6]. 3. "Trustworthiness" gaps, where businesses fear the risks associated with overhauling existing systems [7]. Group 3: JD Cloud's Approach - JD Cloud adopts a "gradual true replacement" strategy, which is gaining traction as a practical model for domesticization [10][11]. - The approach includes: 1. Multi-chip management to ensure system resilience against single architecture failures [12]. 2. Gradual replacement through pilot projects to manage risks and costs effectively [12]. 3. Continuous iteration of self-developed hardware and software based on real business scenarios [12]. Group 4: Infrastructure and AI Development - JD Cloud is transitioning to a GPU-centric mixed computing architecture, termed AI Infra 1.0, to support the deep application of large models [16]. - The JoyScale AI computing platform integrates heterogeneous computing resources, ensuring efficient scheduling and stability during peak demand [17]. - The JoyBuilder model development platform enhances training and inference speeds while ensuring data security through comprehensive encryption methods [19]. Group 5: Market Perception and Future Outlook - The market's perception of domesticization is shifting from mere availability to evaluating usability and value [19]. - By 2025, the focus will shift from policy-driven initiatives to commercially viable solutions that have been tested in extreme scenarios [19]. - The ultimate goal of domesticization is to empower Chinese enterprises with genuine choices in the global technology landscape, balancing performance and security [20].

Core Insights - JD Cloud has launched a new development paradigm called "Agent + Coding," which aims to simplify AI application development and promote automation in coding processes [1] - The upgraded JoyAgent 3.0 features breakthrough cross-platform and multi-agent collaboration capabilities, enhancing the efficiency of AI applications [1] Group 1: New Development Paradigm - The "Agent + Coding" paradigm is becoming mainstream in AI application development, facilitating a closed-loop system where agents simplify code and code enhances agent functionality [1] - This shift is expected to lead to a significant reduction in the amount of code developers need to write, moving towards a future where less coding is required [1] Group 2: JoyAgent and JoyCode Integration - JD Cloud has tightly integrated the JoyAgent intelligent agent platform with the JoyCode intelligent coding platform to support deep application development [1] - JoyAgent provides atomic capabilities such as intelligent agents and AI algorithm libraries, which can be directly called and integrated by JoyCode [1] - Applications generated by JoyCode can feedback into JoyAgent to optimize agent behavior and knowledge models, creating a seamless collaboration through the AI Store [1] Group 3: Embodied Intelligence Solutions - JD Cloud has officially launched embodied intelligence industry solutions, offering a comprehensive platform that supports enterprises in model training and embodied agent development [2] - The solutions leverage JD's proprietary JoyInside technology to equip agents with core capabilities such as environmental perception, voice interaction, and action planning [2]

Core Insights - The 2025 China International Service Trade Fair (CIFTIS) opened in Beijing, showcasing JD Group's innovations across various sectors including retail, technology, logistics, health, and industry, under the theme "Digital-Real Synergy, Smart Global Sharing" [1] - JD Group's "Seven Fresh Kitchen" and AI Interview Agent were recognized as exemplary service cases at the fair, highlighting their innovative supply chain and recruitment efficiency improvements [1][4] - JD Group aims to leverage its digital capabilities to optimize supply chains, reduce costs across industries, and enhance collaboration with over 100 state-owned enterprises [1] JD Group's Local Business Initiatives - JD's local services, including JD Takeout, Seven Fresh Kitchen, and JD Home Services, made their debut at the fair, focusing on addressing traditional industry pain points and enhancing home service market capabilities [2] - The "100 Billion Thousand Products New Growth Plan" by JD Global Purchase aims to introduce 1,000 new overseas brands and achieve 10 billion yuan in sales growth over three years [2] Technological Innovations - JD Cloud served as the official technology service provider for the fair, showcasing the "JD Office" smart government collaboration platform, which supports over 500,000 personnel in efficient cross-departmental collaboration [3] - The JoyAI model was highlighted with applications such as AI Interview Agent, which has improved recruitment efficiency by 70% and served over 100,000 job seekers [4] Supply Chain and Logistics Developments - JD's industrial solutions focus on creating a digital supply chain to enhance resilience and reduce costs by trillions, showcasing their integrated supply chain logistics system with over 30 new overseas warehouses [5][6] - JD's international supply chain capabilities were presented, emphasizing their infrastructure in over 50 locations across nine countries, aiming to become a preferred brand for Chinese enterprises going global [6] Health Services Innovations - JD Health demonstrated a closed-loop service model integrating medical consultations, testing, diagnosis, and medication delivery, enhancing online and offline healthcare service collaboration [5] - The introduction of AI medical products like "AI Jingyi" and "Kangkang" aims to provide comprehensive health management solutions across various scenarios [6] Vision and Future Goals - JD Group aspires to be the "most trusted global enterprise," leveraging its supply chain advantages to create value for global customers and partners, while promoting Chinese business civilization [6]

Group 1: Event Overview - The 2025 China International Service Trade Fair (CIFTIS) opened in Beijing on September 10, showcasing JD Group's innovations across various sectors including retail, logistics, technology, industry, and health under the theme "Digital and Real Economy Together, Smartly Enjoying the Globe" [1] - JD Technology presented numerous new products and applications at the fair, emphasizing its role in supporting the growth of the real economy and enhancing consumer confidence through technological innovation and high-quality services [1] Group 2: JD Technology Innovations - The "Jingban" smart government collaboration platform, supported by JD Technology, made its debut at the fair, demonstrating its capabilities in unifying management for various grassroots support points during major events [2][4] - The platform has integrated AI and large model technologies to enhance government operations, providing features such as real-time information push, intelligent writing assistance, and efficient meeting summaries, significantly improving office efficiency [5] Group 3: AI Applications - JD showcased multiple applications based on the JoyAI large model, including a digital guide that enhances visitor engagement at the fair and has been utilized in over 20,000 brands [8] - The AI interview agent developed by JD has improved recruitment efficiency by 70%, serving over 100,000 job seekers and recognized as a service demonstration case at the fair [8] Group 4: Financial Services - JD Finance created an immersive digital financial experience at the fair, presenting a range of services including consumer finance, payment solutions, personal finance, and consumer rights protection [12] - The JD White Bar service, launched in 2014, has served over 300 million users and over 2 million merchants, now offering interest subsidies on purchases marked with "national interest subsidy" to stimulate consumer spending [13]