Cadence and Nvidia Robotics Partnership

At a Cadence conference in Santa Clara, Cadence Design Systems and Nvidia revealed an expanded partnership to improve the accuracy of robot training data, accelerating the deployment of physical AI systems. The CEOs of both companies introduced the collaboration, which combines Cadence’s physics simulation engines with Nvidia’s AI training platforms, including Isaac simulation libraries and Cosmos models. Known for its software in designing computing chips, Cadence also develops physics engines for material interaction, fluid flow, and surface contact, now used for training data in robotics. Training in simulation is more cost-effective than in real life, but accuracy is crucial. Cadence CEO Anirudh Devgan emphasized the importance of precision in training data, while Nvidia CEO Jensen Huang highlighted the comprehensive nature of their collaboration. Their integrated approach connects Cadence’s simulations with Nvidia’s training models, deploying them on Jetson hardware, creating a workflow from model training to real-world deployment. Nvidia is forming similar partnerships with Siemens and Dassault Systèmes for industrial AI platforms. This move marks a significant expansion for Cadence into the AI infrastructure, meeting the increasing demand for precise robot training data.