Core Viewpoint - The global technology giants, represented by Google, are systematically expanding AI computing power infrastructure through models, chips, and ecosystem initiatives, which provides strong long-term support for the demand for upstream high-speed optical modules [2]. Group 1: AI Computing Power Infrastructure Expansion - The model side is lowering the application threshold for enterprises by launching low-cost, high-performance inference models like Gemini 3 Flash, stimulating the demand for large-scale inference computing power [2]. - On the hardware side, the acceleration of computing cluster deployment is driven by increased orders for self-developed TPUs and collaboration with the industry chain, directly boosting the demand for high-speed internal interconnects in data centers [2]. - The ecosystem side is attracting a broader developer base through initiatives like "TorchTPU," expanding the customer base for computing power services [2]. Group 2: Market Trends and Predictions - The expansion of AI computing infrastructure is expected to lead to a surge in data center traffic, making 800G/1.6T high-speed optical modules essential components [2]. - According to industry research firm LightCounting, the global optical module market is projected to exceed $37 billion by 2029, with 1.6T optical modules expected to enter commercial use in 2025, with initial global demand estimated at 2.5 million to 3.5 million units [2]. - The transition between technology generations is anticipated to concentrate industry value in high-end segments [2]. Group 3: Investment Opportunities - The ChiNext AI ETF (159382.SZ) is highly focused on key segments like optical modules, with the top three constituent stocks accounting for nearly 39% of the index weight, positioning it to benefit directly from hardware upgrades and demand surges driven by AI computing infrastructure [2].
创业板人工智能ETF南方(159382.SZ)涨1.00%,中际旭创涨1.96%