tech
April 16, 2026
The Cadence-Nvidia robotics deal
The two companies announced an expanded partnership at a Cadence conference in Santa Clara on Wednesday. The goal: make robot training data more accurate so physical AI systems reach real-world deployment faster.
TL;DR
- Cadence and Nvidia are expanding their partnership to improve robot training by bridging the gap between simulation and physical performance.
- The collaboration integrates Cadence's physics simulation engines with Nvidia's AI training platforms, including Isaac simulation libraries and Cosmos open-world models.
- Cadence's physics engines, typically used in aerospace and automotive design, will now generate training data for robot AI systems.
- The goal is to make robot training faster and cheaper by increasing the accuracy of simulation-generated training data.
- The combined solution links Cadence's multiphysics simulation with Nvidia's model training pipelines and will deploy on Nvidia's Jetson hardware.
- This partnership signifies an expansion for Cadence into AI infrastructure and aligns with Nvidia's broader strategy of forming industrial AI simulation partnerships.
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