Intel(US:INTC) Haitong Securities International·2025-07-24 13:05Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved in the AI and IoT sectors Core Insights - The 6th International AI+IoT Eco-Development Conference highlighted the integration of AI and IoT, focusing on edge computing power optimization and device interconnectivity, with participation from leading companies like Intel, Tencent, and Haier [1][9] - The exponential growth in training data and computing demand is driving the adoption of Edge AI across various applications, with Intel predicting the global edge market to reach $445 billion by 2030 [3][11] - Intel's advancements in edge AI technologies, including low-bit quantization and high-performance AI accelerators, are expected to enhance AI inference efficiency and support large-scale model training [4][12] Summary by Sections Event Overview - The conference set up three core sections: International AIoT Industry Development Summit Forum, Smart Home & Wearable Forum, and AI Robot Forum, showcasing cutting-edge technologies and products [1][9] - The event emphasized the transition from "connection" to "intelligent connection" in the industry, driven by policy and market forces [1][9] Technological Developments - The report discusses the significant leap in global supercomputing capabilities, which have increased from 130 billion floating-point operations per second in 1994 to 200 exaflops, facilitating faster AI model training and inference [2][10] - Intel's processors are used in 72% of global supercomputers, and the company is collaborating with Argonne National Laboratory on the next-generation supercomputer "Aurora" [2][10] Market Predictions - By 2030, AI is expected to be a core driver of the global edge market, with a projected market size of $445 billion, indicating strong growth potential in the sector [3][11] - The report highlights the implementation of Edge AI in various fields, including equipment status monitoring and environmental monitoring, optimizing operational efficiency through real-time data analysis [3][11] Product Innovations - Intel has launched a full-stack product matrix to support AI development stages, including the Intel Core Ultra series and Gaudi AI accelerators, aimed at enhancing AI capabilities in various applications [4][12] - The Gaudi 2E PCIe expansion card is noted for its high performance, suitable for large-scale AI model training and inference [4][12]