Sou Hu Cai Jing·2025-11-21 20:17Core Insights - The report titled "2025 Domestic AI Chip Software Ecosystem White Paper" highlights the competitive landscape of domestic AI chips, emphasizing the shift in user focus from hardware performance to the maturity, compatibility, and usability of the software ecosystem [1][10] - The software ecosystem is structured into four layers: foundational support layer, core tools layer, framework adaptation layer, and management monitoring layer, which collectively determine the value realization and commercialization of AI chips [1][14] - Domestic AI chips are categorized into specialized acceleration chips, general-purpose computing chips, and graphics computing chips, with notable manufacturers focusing on different aspects of the ecosystem [1][10] Group 1: Background and Significance - The report outlines the context of increasing international technological competition, which has led to significant advancements in domestic AI chip technology and market expansion [10][11] - The primary goal of the white paper is to systematically assess the development status of the domestic AI chip software ecosystem, providing a technical reference for industry, academia, and government [12][13] Group 2: AI Chip Software Ecosystem Composition - The AI chip software ecosystem serves as a technical hub connecting hardware capabilities with upper-layer applications, structured into four main modules: foundational support, core tools, framework adaptation, and management monitoring [14][20] - Each module plays a critical role in the training and inference processes of AI models, with the foundational support layer abstracting hardware complexity and providing standard interfaces for upper-layer tools and applications [17][19] Group 3: Current State of Domestic AI Chip Software Ecosystem - The report identifies various domestic AI chip categories and representative manufacturers, highlighting their unique software ecosystem resources and the need for improvement in completeness and community engagement [3][10] - The current ecosystem has progressed from "basic usability" to "specific scenario usability," with two main paths emerging: "full-stack ecosystem" and "compatible ecosystem" [1][10] Group 4: Future Development Directions - The report emphasizes the need for standardization, open-source collaboration, and industry-academia synergy to enhance the domestic AI chip software ecosystem from "usable" to "excellent" [1][10] - The ultimate goal is to establish a robust and controllable technological system that supports the commercialization of domestic AI chips [1][10]