Jensen Huang highlighted that embedding digital twins—virtual replicas of physical systems with real-time physics simulation—will be essential for training and optimizing humanoid robots before physical deployment. He argued this approach can shrink development timelines from years to months, enhancing reliability and reducing costs.

The CEO outlined how digital twins will enable manufacturers to simulate entire production lines, troubleshoot issues virtually, and tailor robots to specific tasks. This could open new automation markets worth billions, as factories seek scalable, customizable humanoid solutions.

Nvidia plans to leverage its Omniverse platform and CUDA-accelerated GPUs to power digital twin simulations at scale. Huang indicated partnerships with robotics firms and system integrators are underway to integrate Nvidia’s hardware and software into next-generation factory deployments.