RESHORING GPU PRODUCTION: TESTING STRATEGY ADAPTATIONS FOR U.S.-BASED FACTORIES

Abstract

With the reshoring of the GPU manufacturing in East Asian centers to the factories in the USA, the national manufacturers are now urgently in need to construct high-throughput and versatile GPU testing services capable of sustaining HPC services and hi-tech community of interests like the mission-focused applications. This study examines how testing strategies need to change in the presence of reshoring to semiconductor manufacturing and practical applications of its concepts with the design of scalable and cost-effective GPU testing automation and AI-driven validation processes. Through a mixed methodology, comprising both expert interviews and a comparative literature study of the best-practice facilities in the world, the study has determined that modular test-line architectures, digital twins, and real-time analytics are the essential enablers to enhance yield and minimize defect escape and time-to-market. The case study of Intel Arizona and Ohio fabs shows how close integration of validation and close cooperation with vendors of Automated Test Equipment can operationalize these capabilities, and promote energy efficiency and closed-loop water systems. In the future, the framework outlines ways of leading to quantum conscious GPU testing, a remote autonomous engineering model, and more resilient U.S HPC manufacturing ecosystems. Such insight can be used by policymakers, foundry planners, and equipment manufacturers to plan the next ten years of semiconductor development in the United States.