云计算需求膨胀，光模块CPO持续走强，通信ETF华夏（515050）盘中涨超3%，天孚通信涨超10%

Group 1 - The core viewpoint of the articles highlights the strong performance of A-shares in the early trading session post-holiday, particularly in the optical module and CPO concepts, with significant gains in stocks like Huagong Technology and Tianfu Communication [1] - The communication ETF (515050) has seen a rise of over 3%, while the AI-focused ETF (159381) has increased by more than 2%, indicating a robust market sentiment towards these sectors [1] - The global token call volume has reached a new high, with a week-on-week growth rate exceeding 15%, driven by frequent iterations of global models including ClaudeOpus4.6, Gemini3DeepThink, and GPT-5.3 [1] Group 2 - Huatai Securities projects that the demand for cloud computing will surge with the rapid development of AI by 2025, significantly boosting the need for general computing power [2] - Tokens are described as the purest form of electricity derivatives, with the value of electricity being delivered across borders through tokens, despite the physical electricity remaining within China [2] - The cost structure of tokens is heavily influenced by electricity and computing power, which together account for over 70% of the total cost, leveraging China's low electricity prices to gain global pricing power in AI services [2] Group 3 - The communication ETF (515050) tracks the CSI 5G communication theme index, with a total scale of nearly 8 billion yuan, covering key areas such as optical modules and computing infrastructure, with CPO and CPB concept stocks making up over 76% of its weight [3] - The AI-focused ETF (159381) has a balanced allocation between optical module CPO stocks and AI software applications, with top holdings including Zhongji Xuchuang and Xinyi Sheng, and a total scale of nearly 2 billion yuan [3] - The cloud computing ETF (516630) focuses on domestic AI hardware and software, with a combined weight of 83.7% in computer software, cloud services, and computer equipment, also featuring a low fee structure [3]