Cadence and Nvidia Partner to Close Robotics Simulation Gap

The two tech giants aim to improve robot training data accuracy for faster real-world deployment.

Apr. 16, 2026 at 7:24am

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A highly detailed, glowing 3D illustration of a robotic arm with intricate mechanical components and circuitry illuminated by neon cyan and magenta lights, conceptually representing the integration of advanced physics simulation and AI training for robotics.The partnership between Cadence and Nvidia aims to generate more accurate training data for robotic systems, bridging the gap between simulation and real-world performance.Santa Clara Today

Cadence Design Systems and Nvidia have announced an expanded partnership to integrate Cadence's high-fidelity physics simulation engines with Nvidia's AI training platforms, including its Isaac open-source simulation libraries and Cosmos open-world models. The goal is to generate more accurate training data for robot AI systems, closing the gap between simulation and real-world performance.

Why it matters

Accurate simulation data is crucial for training robots to operate safely and effectively in the physical world. By combining Cadence's expertise in physics modeling with Nvidia's leadership in AI and robotics, the partnership aims to accelerate the development and deployment of advanced robotic systems across industries.

The details

The collaboration will link Cadence's multiphysics simulation capabilities with Nvidia's model training pipelines and Jetson robotics hardware. This will create a workflow that runs from world-model training through physics simulation to real-world deployment feedback, coordinated by AI agents throughout the lifecycle. The partnership represents a significant expansion of Cadence's simulation software into the AI infrastructure layer, as demand for accurate robot training data grows rapidly.

  • The partnership was announced at a Cadence conference in Santa Clara, California on April 16, 2026.

The players

Cadence Design Systems

A leading provider of software used to design advanced computing chips, as well as physics engines that model real-world materials, deformation, fluid flow, and surface interactions.

Nvidia

A multinational technology company known for its graphics processing units (GPUs) and AI platforms, including the Isaac open-source simulation libraries and Cosmos open-world models for robotics.

Anirudh Devgan

CEO of Cadence Design Systems.

Jensen Huang

CEO of Nvidia.

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What they’re saying

“The more accurate the generated training data is, the better the model will be.”

— Anirudh Devgan, CEO, Cadence Design Systems

“We're working with you across the board on robotic systems.”

— Jensen Huang, CEO, Nvidia

What’s next

The combined Cadence-Nvidia stack will be made available to robotics developers and researchers, with the goal of accelerating the deployment of advanced robotic systems in real-world applications.

The takeaway

This partnership represents a significant step forward in bridging the gap between simulation and reality in robotics, which is crucial for the safe and effective deployment of autonomous systems. By integrating Cadence's physics expertise with Nvidia's AI leadership, the two companies aim to provide a more accurate and comprehensive training workflow for the next generation of robotic technologies.