“Achieving digital transformation in smart manufacturing requires the right foundation and technology. By introducing NVIDIA RTX PRO Servers into our global infrastructure, Foxconn is redefining the boundaries of AI-driven automation – from sophisticated robotics to intelligent logistics, agentic factory operations and smart electric vehicles,” said Young Liu, CEO and Chairman of Foxconn.

Foxconn is deploying multiple use cases on RTX PRO Servers, including NVIDIA Omniverse for 3D digital twins to plan and simulate automated production lines, and NVIDIA Isaac for development and simulation of advanced autonomous mobile robots (AMRs). RTX PRO Servers are also featured in the NVIDIAEnterprise AI Factory validated design, empowering Foxconn to rapidly deploy full-stack, enterprise-grade AI infrastructure. Paired with NVIDIA BlueField-3 DPUs and NVIDIA ConnectX-8 SuperNICs, it integrates high-efficiency networking, storage, and cybersecurity accelerators to support a wide range of enterprise applications, including:

• Industrial AI and robotics simulation (physical AI)

• Generative AI and LLM inference (agentic AI)

• Scientific computing and data analytics

• Industrial design and real-time rendering

This will be particularly valuable for Foxconn in advancing smart manufacturing, digital twins, and supply chain optimization.

“Modern factories will exist in two worlds: one physical, one digital—perfect twins that look and behave the same,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA RTX Pro is the platform of this revolution, built on simulation, graphics, and AI.

Foxconn is leading the way, reinventing manufacturing for the era of AI and Omniverse digital twins.”

RTX PRO Servers are expected to greatly boost Foxconn development efficiency and edge AI deployments, enabling multiple high-precision simulations to run in parallel and instantly see how different strategies perform. These systems provide Foxconn confidence to explore more complex scenarios and quickly identify the best solutions. For robotics and a wide range of AI applications, this means a smoother, faster path from concept to deployment.