Core Viewpoint - The artificial intelligence (AI) edge application sector is gaining market attention due to various factors including policy support and strong performance from companies in the industry, with the Wind AI concept index rising by 13.44% since April 8 [1] Industry Developments - The AI terminal industry development seminar highlighted the importance of AI terminals as key carriers for the application of AI technology, emphasizing the need for inter-departmental collaboration and industry synergy [1] - The launch of the AI terminal benchmark and intelligent grading plan aims to establish evaluation methods for various AI terminals, fostering industry consensus and supporting policy implementation [1] Product Innovations - In Q1 2025, Edge AI chips are expected to undergo dual innovations in integrated storage-computation architecture and heterogeneous computing, with companies like Rockchip achieving a threefold increase in AI inference energy efficiency in low-power scenarios [2] - Edge AI allows for localized data processing on smart devices, offering advantages such as security, independence, low latency, and high reliability compared to cloud-based AI [2] Company Performance - In Q1 2025, companies in the AI sector reported impressive earnings, with Cambricon Technologies achieving a total revenue of 1.111 billion yuan, a year-on-year increase of 4230.22%, and a net profit of 355 million yuan, up 256.82% [2] - Rockchip reported a total revenue of 885 million yuan, a 62.95% increase year-on-year, with a net profit of 209 million yuan, reflecting a growth of 209.65% [3] - Other companies such as Aibee, Pingzhi Information, and Jiadu Technology also reported net profit increases exceeding 150% year-on-year, with Jiadu Technology turning a profit due to successful project completions in smart transportation [3] Investment Outlook - The AI edge sector is transitioning from a technical concept to large-scale application, driven by improvements in terminal chip computing power and lightweight model optimization [3] - Analysts predict a new wave of innovation in smart terminals such as intelligent connected new energy vehicles, AI smartphones, and smart manufacturing equipment, driven by the lightweight model trends initiated by DeepSeek [4] - The penetration of AI edge products is expected to boost demand for consumer-grade storage, with open-source models like DeepSeek facilitating rapid deployment in devices such as smartphones and PCs [4]
从技术概念走向规模化应用人工智能端侧热度再起