Core Viewpoint - Hengwei Technology's acquisition of 75% of Shuhang Technology marks the first case of a listed company in the A-share market planning to acquire an AI RaaS (Result as a Service) target, indicating a shift in AI industry competition from computing power to application implementation [1] Group 1: Acquisition Details - Hengwei Technology has been deeply involved in network visualization and intelligent system platforms, and is now expanding into AI infrastructure and solutions [2] - Shuhang Technology, established in 2017, is a leading provider of enterprise-level scenario-based AI solutions, having achieved rapid revenue and profit growth over the past three years [2][3] - The acquisition aims to enhance Hengwei's AI strategy by integrating Shuhang's capabilities, allowing for a complete chain from computing power provision to application implementation [3] Group 2: AI RaaS Model - The AI RaaS model, which focuses on quantifiable business outcomes, is expected to become a competitive area for listed companies, as it helps enterprises achieve digital transformation and improve efficiency [4] - Traditional AI services often fail to deliver clear business returns, leading to hesitance among enterprises to invest in AI; the AI RaaS model addresses this issue by holding service providers accountable for business results [4][5] - AI RaaS can tap into 20%-60% of core profit pools in various sectors, significantly outperforming traditional SaaS, which only covers 1%-2% [5] Group 3: Industry Trends - The competition in the AI sector is shifting from a focus on computing power to the ability to implement solutions in specific scenarios, with a growing emphasis on model efficiency and industry-specific applications [6] - Shuhang Technology's self-developed S-GPT model and Langtree platform enable a full process from data preparation to deployment, showcasing the effectiveness of the AI RaaS model [6] - The acquisition reflects a broader trend in the AI industry towards application competition, with Hengwei aiming to build a "computing power + application" ecosystem [7]