Zhong Guo Zheng Quan Bao·2025-11-20 12:47Core Insights - JD Cloud is reshaping AI productivity through deep applications, showcasing its leading technology and practices at the JD Cloud City Conference [1] - The new AI development paradigm of Agent+Coding is becoming mainstream, simplifying code writing and enhancing automation in AI development [1][4] - JD Cloud's integration of JoyAgent and JoyCode platforms enables seamless collaboration for building complex AI applications [2][4] AI Development Paradigm - The Agent+Coding paradigm allows for a closed-loop system where AI agents simplify coding, and code improvements feed back into the agents, promoting automation and intelligence in development [1][4] - JoyAgent and JoyCode are built on the same technology stack, facilitating tighter collaboration and integration [4] Industry Solutions - JD Cloud has launched comprehensive solutions for various industries, including embodied intelligence, finance, healthcare, and government, enhancing AI application in real-world scenarios [15][17] - The JoyAI model has been successfully applied in over 40,000 brands, significantly increasing GMV and reducing operational costs [7] Infrastructure and Performance - JD Cloud is transitioning to a GPU-centric infrastructure to meet the growing demands of AI applications, marking the beginning of AI Infra 1.0 [8][11] - The JoyBuilder platform enhances model training and inference efficiency by 400%, while also providing a wide range of algorithms and tools for businesses [11] Data Security - JD Cloud emphasizes data security and compliance, utilizing national encryption algorithms to ensure safe data circulation [14] Future Directions - JD Cloud aims to continue expanding its technology and application boundaries, focusing on creating a stable, open, high-performance, and cost-effective ecosystem for enterprises [18]