Foxconn to Build AI Factories with NVIDIA Omniverse Platform

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Foxconn announced it is collaborating with NVIDIA to build digital twins to reshape the future of manufacturing processes and supply chain management while opening new pathways for global deployment of advanced facilities and enhancing corporate resilience.

This forward-looking partnership first debuted at last year's Hon Hai Tech Day (HHTD23), showcasing Foxconn’s development on the NVIDIA Omniverse platform to create a 3D digital twin to plan and simulate automated production lines at the Taiwan Hsinchu factory. Omniverse adoption at the Hsinchu factory will be scaled out to worldwide Foxconn factories. Meanwhile, advancements in the Mexico factory enable the implementation of NVIDIA Omniverse, NVIDIA Isaac for robotics, NVIDIA Modulus for AI-driven simulations, and OpenUSD for data interoperability.

The core advantage of digital twin technology lies in its rapid scalability and simulating processes virtually before deploying in the real world, which has become key to Foxconn's strengthened global deployment. Through this technology, Foxconn can replicate and establish production lines across diverse geographical locations with unprecedented speed and precision. This capability enables Foxconn to swiftly deploy high-quality production facilities with unified standards in strategic markets worldwide, significantly enhancing the company's competitiveness and adaptability in the global landscape.

Beyond accelerating Foxconn's global deployment, these digital twin capabilities also significantly enhance the company's resilience. When facing supply chain disruptions or sudden market demands, Foxconn can quickly simulate manufacturing process changes, and adjust production strategies to flexibly allocate resources across different regions for itself and its clients, ensuring production continuity and stability. This high degree of adaptability and flexibility allows Foxconn to maintain a strong competitive advantage in the complex and ever-changing global economic environment.