Group 1 - The core viewpoint of the news highlights the performance of the big data industry ETF (516700), which showed a decline of 0.52% in intraday trading, while certain constituent stocks like Qimingxingchen, Guotou Intelligent, and Qi Anxin performed strongly with increases of 2.17%, 1.49%, and 0.98% respectively [1] - The article discusses the recent developments in the AI sector, particularly the launch of the new GPU architecture "Huagang" by Moore Threads, which supports full precision computing and high-performance AI training chips, achieving international mainstream levels in several metrics [3] - The focus of the AI industry is shifting from "fast thinking" to "slow thinking," emphasizing algorithm and training paradigm optimization, with a transition from benchmark testing to real-world task execution [3] Group 2 - The big data industry ETF (516700) passively tracks the CSI Big Data Industry Index, heavily investing in sectors such as data centers, cloud computing, and big data processing, with key stocks including Zhongke Shuguang, Keda Xunfei, and Unisplendour [4] - There are three main catalysts for investors interested in the direction of technological self-reliance: the call for "technology to lead," the top-level design of Digital China to activate digital productivity, and the acceleration of the domestic substitution process [4] - The article notes that the trend of "信创" (Xinchuang) is expected to accelerate, indicating a broad outlook for technological self-reliance [4]
摩尔线程发布新一代GPU架构！大数据ETF华宝（516700）微跌0.5%，机构：AI竞争转向思考链深度与场景渗透