Core Insights - The article discusses the launch of China's first AI computing open architecture by Zhongke Shuguang, in collaboration with over 20 industry chain enterprises, which includes the comprehensive opening of the "DeepAI Intelligent Engine" [1][3] Group 1: AI Computing Open Architecture - Zhongke Shuguang's initiative aims to shift the AI computing ecosystem in China from imitation to establishing its own rules, reflecting a significant evolution in the industry [3] - The "DeepAI Intelligent Engine" provides a GPU heterogeneous computing toolkit, an AI foundational software stack (OpenDAS), and an AI application management platform (DAP), facilitating seamless compatibility with native CUDA [3][5] Group 2: Industry Dynamics - The introduction of a unified entry point for domestic computing power is seen as a pivotal moment, allowing Chinese AI industry players to create their own architectural blueprints [5] - Zhongke Shuguang's open approach contrasts with other companies maintaining closed ecosystems, aiming to enhance collaboration among domestic GPGPU manufacturers and promote a "China-like CUDA" ecosystem [5][6] Group 3: Open vs. Closed Ecosystems - The article highlights the long-term challenges posed by closed ecosystems, which may enhance short-term user experience but ultimately raise innovation barriers [5] - The establishment of the "AI Computing Open Architecture Joint Laboratory" in collaboration with over 20 enterprises aims to address cross-manufacturer technology alignment issues and foster deep industry collaboration [5] Group 4: Broader Implications - The ultimate goal of AI technology is to enhance human life rather than dominate it, with China's AI capabilities now positioned to offer inclusivity and benefits across various industries [6] - The open declaration of DeepAI signifies China's commitment to an open AI ecosystem, potentially reshaping its global competitive stance [6]