Seek .(US:SKLTY) Xin Lang Cai Jing·2025-08-13 02:36Group 1 - The core viewpoint of the article emphasizes the increasing demand for computing power in the AI industry, particularly in the post-GPT-5 era, where models are evolving rapidly and requiring more efficient token usage and higher computational capabilities [3][6][12] - The cloud computing ETF, Huatai Securities (159273), has seen significant investment, with over 120 million yuan raised in the past four days, reflecting strong market interest in the sector [1][3] - Major AI model updates are occurring at a faster pace, with a notable increase in the number of large models expected to be released by leading companies globally by mid-2025 [3][4][6] Group 2 - The article highlights that the demand for computing power is driven by the growth in model training scales, increased inference complexity, and the need for multi-modal and multi-task adaptability [3][11] - Domestic AI chip companies are focusing on innovations in interconnect technology and large-scale system solutions to support AI model training and inference, indicating a shift from single-chip performance to comprehensive system capabilities [11][12] - The rapid increase in token consumption, particularly in applications like video generation, is leading to a structural shift in computing power requirements from decoding limitations to bandwidth and connectivity constraints [11][12]