3.2 Industry Applications of Large Model Training Also Require a Large Amount of Intelligent Computi

Large model training in vertical industries also requires a significant amount of intelligent computing power. Moreover, multi-scenario applications based on large models are continuously expanding. AI is penetrating various industries, driving rapid growth in the scale of intelligent computing power. In 2022, the penetration of AI applications across various industries continued to deepen, especially in finance, telecommunications, manufacturing, and healthcare. To achieve business growth, maintain strong competitiveness, and capture a larger market share, companies are increasingly entering the AI field, using new technologies to enhance the user experience of traditional businesses, and the growth of AI applications is rapid. According to IDC's "2022-2023 Global Artificial Intelligence Computing Power Development Assessment Report," it is expected that by the end of 2023, 50% of the manufacturing supply chain will adopt artificial intelligence technology to enhance business experience. In the future, as the empowering role of AI technology in traditional industries becomes increasingly apparent, it will inevitably give rise to a greater demand for intelligent computing power.