The White Paper is dedicated to clarifying the conceptual connotation, evolution course and technical system of AI framework. It summarizes the current status of AI framework development, analyzed the development trend of AI framework technology, and presents prospects and pathways for AI framework development.

I.         AI Framework Technology Continuously Evolving and A More Complete System Already Formed
(I)       AI framework has progressed to a deepening stage
(II)    AI framework technology has evolved into three levels
(III) AI framework is becoming increasingly important
II.      Global AI Framework Booming, and Diversified Competition and Cooperation Emerging
(I)       Suppliers: Enterprises and schools are the most active contributors
(II)    Open source ecology: The world has entered an active period
(III) Market pattern: Duopoly remains dominant
(IV) Support for applications: Research and industry go hand in hand
(V)    Promotion channels: Three channels go in parallel
III.   Six Major Technological Trends in AI Framework to Address Diverse Challenges of the Future
(I)       Pan-development: AI framework will focus on the unification of front-end convenience and back-end efficiency
(II)    All-scenarios: AI framework will support end-to-end cloud full-scene cross-platform device deployment
(III) Hyperscale: AI framework will focus on strengthening support for hyperscale AI
(IV) Scientific computing: AI framework will further integrate with scientific computing
(V)    Security and credibility: AI framework will help improve the interpretability and robustness of AI models
(VI) Engineering: AI framework will accelerate the implementation of large-scale engineering in AI application industry
IV.    Development of AI Framework Ecology far from Mature but with Promising Future
(I)       Evolution from hardware adaptation to operator interface standardization
(II)    Strengthen the creation of open source communities and open source atmosphere
(III) Value extensively open cooperation with universities and scientific research institutes
(IV) Promote the implementation of integrated AI infrastructure layout
(V)    Support deeply-enabling large models and scientific computing