Edge AI is an effective supplement to cloud computing power and a necessary tool for the implementation of AI applications. It has significant long-term growth potential and is currently in the early stages of an explosion. As the scope of AI applications expands, the overall demand for computing power is increasing, and personalized needs for timeliness and security are becoming more pronounced. The growth of edge computing power has become a trend, with devices such as PCs, smartphones, and cars serving as carriers for edge computing power, leading to a new round of innovation in the hardware industry.
The core SoC computing power of mainstream manufacturers has significantly upgraded, laying the foundation for edge AI technology. A new trend of hardware upgrades has emerged, with major chip manufacturers like Intel, AMD, Qualcomm, and Apple successively launching flagship chip products with high computing power for edge devices. Currently, edge devices are capable of running large models, and it is expected that in the next 3-5 years, PCs, smartphones, cars, and IoT devices will successively adopt greater computing power, resulting in noticeable changes in product forms and market structures. Chip upgrades will bring optimization to the structure and functions of whole products, marking the emergence of a new round of hardware upgrades.
The innovation of edge terminals will usher in the next hardware innovation cycle, and edge AI will bring new growth momentum to the domestic market and supply chain. Currently, technological innovation in consumer terminals is slowing down, and the hardware replacement cycle is lengthening. AI will strongly drive a new cycle. AI hardware will have higher technical requirements for various segments such as terminal OEMs, chips, structural components, and storage, and the increase in value and the replacement cycle of terminals will allow the domestic supply chain to enjoy innovation premiums.
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