AI大模型厂商加速导入硬件入口，端侧AI产业链投资机遇可期

Core Insights - The report highlights the rapid iteration of AI models, emphasizing the importance of edge computing and lightweight models as core directions for development [2][3] - The performance of the MiniCPM model with 2 billion parameters is now comparable to the 2020 GPT-3 model with 175 billion parameters, indicating significant advancements in AI capabilities [2][3] - The collaboration between cloud and edge devices is essential for scaling AI models, leading to optimizations in cost, energy consumption, and performance [2][3] Industry Trends - Major AI model vendors are accelerating the integration of hardware to facilitate the deployment of AI applications across various scenarios [3][4] - Companies like Google, Alibaba, and Apple are making strategic partnerships and launching new AI functionalities to enhance user interaction and application performance [3][4] - The mobile AI market in China is projected to capture around 30% market share by 2025, indicating rapid growth in the edge AI model market [3][4] Technological Developments - AI terminals are evolving with advancements in computing power, energy efficiency, and interaction capabilities [5] - Hardware improvements include the integration of NPU in SoCs, high-bandwidth storage, and enhanced cooling technologies [5] - The form factor of AI terminals is diversifying, with products like AI glasses and AI headphones emerging to cater to specific user interactions [5] Investment Opportunities - Beneficial stocks include brands like Transsion Holdings, Xiaomi, and Luxshare Precision, as well as component manufacturers such as Lens Technology and AAC Technologies [6] - The chip and storage sectors are also highlighted, with companies like Rockchip and Hanguang Technology being potential investment targets [6]