Group 1 - The core viewpoint of the article highlights the introduction of the AI computing cluster solution Cloud Matrix 384 at the WAIC2025 conference, which utilizes a fully interconnected topology for efficient collaboration [1] - The Atlas 900 A3 SuperPoD features a super-node architecture with ultra-large bandwidth of 392GB/s, ultra-low latency of less than 1 microsecond, and exceptional performance of 300 PFLOPs, enhancing the training performance of models like LLaMA3 by over 2.5 times compared to traditional clusters [1] - The Ascend 910C outperforms NVIDIA's GB200 NVL72 in system-level BF16 computing power (300 PFLOPS), HBM capacity (49.2TB), and bandwidth (1229TB/s) [1] Group 2 - The semiconductor equipment ETF (159516) tracks the semiconductor materials and equipment index (931743), focusing on the materials and equipment sectors within the semiconductor industry, covering companies involved in manufacturing, processing, and testing [1] - The index constituents are primarily companies with significant technological advantages and core competitiveness in semiconductor materials and equipment, aiming to reflect the overall performance and industry development trends of listed companies in this segment [1] - Investors without stock accounts can consider the Guotai Zhongzheng Semiconductor Materials and Equipment Theme ETF Initiated Link A (019632) and Link C (019633) [1]

Group 1: Market Trends - AI computing hardware sector showed significant gains on July 29, driven by increased capital expenditure from overseas cloud vendors and a release of performance results [1] - Google's Q2 earnings report revealed an increase in annual capital expenditure to $85 billion, primarily for AI servers and data center construction, with cloud computing revenue reaching $13.6 billion, a 32% year-over-year increase [2] - The ongoing trade negotiations between China and the U.S. in Stockholm may lead to a reduction in trade conflicts, which could benefit domestic optical module companies [3] Group 2: Domestic Developments - At the recent World Artificial Intelligence Conference, companies like Huawei and ZTE showcased advancements in AI computing infrastructure, indicating steady improvements in domestic capabilities [2] - Huawei presented its Ascend 384 super node machine, while ZTE displayed a super node server designed for large-scale model training and inference [2] Group 3: Investment Opportunities - Investors are encouraged to consider communication ETFs (515880) and the ChiNext AI ETF (159388) for potential investment opportunities in the optical module sector [1][7] - Public funds have shown an increase in holdings in the communication sector, with a rise in the top ten holdings' proportion to 3.61%, marking a shift from underweight to overweight [3]

Chinese telecoms giant Huawei showed off its Ascend chips and system for powering artificial intelligence models at the World AI Conference in Shanghai on July 26, 2025. BEIJING — Less than two weeks after Nvidia CEO Jensen Huang's high-profile visit to Beijing, the U.S. chipmaker was conspicuous by its absence at China's biggest AI event of the year. Despite renewed hopes this month of selling its less advanced H20 chips to China again, Nvidia didn't have a booth at the World AI Conference that opened Satu ...