韶关，升级

Core Viewpoint - The article emphasizes the exponential growth of computing power demand driven by advancements in AI and the need for infrastructure to support this growth, particularly in Shaoguan, which aims to become a hub for computing power in the Guangdong-Hong Kong-Macao Greater Bay Area [2][11]. Group 1: Shaoguan's Industrial Transformation - Shaoguan is transitioning from a traditional heavy industrial base to a modern industrial system focused on big data and advanced manufacturing, with a goal of "industrial doubling" [4][6]. - The city is rich in resources, particularly in non-ferrous metals, which are essential for computing power infrastructure, and is upgrading its industries to produce high-end materials [7][8]. - Shaoguan's strategy includes enhancing its steel and non-ferrous metal industries to support semiconductor materials and other advanced manufacturing needs [8][15]. Group 2: Computing Power Infrastructure - Shaoguan is positioned as a key node in the national integrated computing power network, with unique advantages in connectivity and infrastructure [11][12]. - The city has established a robust optical network and aims to reduce network latency significantly, enhancing its appeal as a computing power hub [12][14]. - Shaoguan has attracted major telecom operators and tech companies, with investments totaling approximately 62 billion yuan, aiming to create a computing power capacity of 450,000 PFlops by 2026 [14][15]. Group 3: Future Development and Investment Environment - The city is committed to creating a favorable business environment, implementing reforms to streamline processes for investors, and ensuring a supportive ecosystem for high-quality development [19]. - Shaoguan is actively promoting its capabilities in data applications and AI, with plans to develop a comprehensive ecosystem that integrates various industries [18][19]. - The local government is focused on fostering collaboration between public and private sectors to build a sustainable and innovative industrial landscape [19].