The research background focuses on the increasing demand for internationalization of global cross-border e-commerce brands. Traditional brand building models face challenges due to their difficulty in adapting to differentiated and high value-added market requirements, while generative artificial intelligence and cloud computing technologies provide new momentum for them. Previous literature has pointed out that cross-border e-commerce brand building faces problems such as brand homogenization, unclear positioning, and low marketing efficiency. At the same time, distributed architecture design lacks flexibility, and cloud computing collaboration strategies face challenges such as uneven resource scheduling and data silos. Traditional research often focuses on optimizing a single link and lacks deep collaboration mechanisms between generative AI, distributed architecture, and cloud computing. This study used a questionnaire survey to identify key indicators of brand building, combined with expert scoring method to construct an AHP indicator model for empirical analysis, and drew on top enterprise cases to propose optimization paths. The research results found that intelligent generation of brand content and precise marketing can be achieved through generative AI empowerment. Combined with distributed architecture, system scalability can be improved. By utilizing cloud computing collaboration strategies, resource scheduling and data sharing can be optimized, thus constructing an international distributed architecture for cross-border e-commerce brands empowered by generative AI. Cloud computing collaboration strategies are designed to achieve efficient resource allocation and data exchange, improving brand building efficiency and international competitiveness. Specific contributions include a brand content intelligent generation framework based on generative AI, a distributed architecture elastic extension module, a cloud computing intelligent resource scheduling algorithm, and a brand internationalization evaluation index system. The conclusion emphasizes that the research needs to deepen the theoretical framework of brand building and corporate strategy, and expand the sample size of case studies to enhance universality 

Zhenlin Jin. Research on Cross border E-commerce Brand Internationalization Distributed Architecture and Cloud Computing Collaborative Strategy Empowered by Generative Artificial Intelligence. Distributed Processing System (2025), Vol. 4, Issue 1: 17-26. https://doi.org/10.38007/DPS.2025.040103.

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