But these partners are doing more than building AI factories. They’re applying accelerated computing, simulation, AI agents and physical AI to their own operations, creating a model for how AI can make advanced manufacturing faster, more efficient and adaptive.

Across chipmaking, server assembly and factory operations, Taiwan’s manufacturing leaders are applying NVIDIA technologies to reshape how AI infrastructure is designed, built, tested and scaled.

TSMC is applying NVIDIA CUDA-X libraries and AI models across computational lithography, transistor and process simulation, advanced process control, yield analysis, fab operations and inspection. NVIDIA cuLitho improves cost-effectiveness or cycle time by 20-50% over CPU-based computational lithography at the same cost of ownership, while the NVIDIA cuEST library improves semiconductor material simulation by 50x on average, cuML library, Metropolis platform and TAO Toolkit help accelerate material simulations, improve process control and strengthen rare-defect inspection.

Foxconn is using the new NVIDIA Factory Operations Blueprint and NemoClaw blueprints to build MoMClaw, its manufacturing operations management agent, connecting sensor and machine signals with specialized agents that give plant managers and operators real-time answers and action plans through a natural language interface with NVIDIA OpenShell privacy controls and safety guardrails.