Cadence and Nvidia partner to accelerate AI for robotics through advanced simulation

Cadence, Nvidia working together on developing AI for robotics

SANTA CLARA, California, April 15 (Reuters) - Cadence Design Systems (CDNS.O), opens new tab and Nvidia (NVDA.O), opens new tab are partnering to further the development of artificial intelligence for robots, the CEOs of the two companies said on Wednesday. Cadence, which is one of ⁠the major suppliers of the software used in designing advanced computing chips, is working with Nvidia to integrate its physics engines, which predict how real-world materials interact, with Nvidia AI models designed to train robots ⁠inside computer simulations. Training robots inside such simulations can be faster than training them in the real world. ⁠The goal of the collaboration, the two CEOs said at a conference hosted ⁠by Cadence in Santa Clara, California, is to shrink the ⁠time needed to get robots to carry out useful tasks. Reporting by Stephen Nellis in Santa Clara, California Our Standards: The Thomson Reuters Trust Principles., opens new tab

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. Cadence Design Systems and Nvidia have announced an expanded partnership aimed at closing one of robotics' most persistent problems: the gap between how robots learn inside computer simulations and how they actually perform in the physical world. The collaboration, unveiled by the CEOs of both companies at a Cadence conference in Santa Clara, California, integrates 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. Cadence is best known as one of the dominant suppliers of software used to design advanced computing chips. But the company also makes physics engines that model how real-world materials interact, how metals deform, how fluids flow, how surfaces make contact. These simulations are used in aerospace, automotive, and semiconductor design, but are now being applied to a new problem: generating the training data that robot AI systems need to learn how to handle objects and navigate physical environments. Training robots in simulation is faster and cheaper than doing so in the real world, but the training data is only as useful as the physics engine is accurate. "The more accurate the generated training data is, the better the model will be," Cadence CEO Anirudh Devgan said at the Santa Clara conference. Nvidia CEO Jensen Huang described the scope of the collaboration directly: "We're working with you across the board on robotic systems." The combined stack will link Cadence's multiphysics simulation with Nvidia's model training pipelines and deploy the results on Nvidia's Jetson robotics and edge AI hardware. The output is a workflow that runs from world-model training through physics simulation to real-world deployment feedback, coordinated by AI agents throughout the lifecycle. The announcement is part of a broader pattern of Nvidia building deep simulation partnerships across industrial engineering. The company has separately announced partnerships with Siemens and Dassault Systèmes to build industrial AI platforms and virtual twins. For Cadence, the robotics application represents a significant expansion of its simulation software into the AI infrastructure layer at a moment when demand for accurate robot training data is growing rapidly.

Cadence, Nvidia working together on developing AI for robotics

Cadence, which is one of the major suppliers of the software used in designing advanced computing chips, is working with Nvidia to integrate its physics engines, which predict how real-world materials interact, with Nvidia AI ⁠models designed to train robots inside computer simulations. Cadence Design Systems and Nvidia are partnering to further the development of artificial intelligence for robots, the CEOs of the two companies ⁠said on ⁠Wednesday. Cadence, which is one of the major suppliers of the software used in designing advanced computing chips, is working with Nvidia to integrate its physics engines, which predict how real-world materials interact, with Nvidia AI ⁠models designed to train robots inside computer simulations. "We're working with you across the board ⁠on robotic systems," Nvidia CEO Jensen Huang said at a conference hosted by Cadence in Santa Clara, California. Training robots inside such simulations can be faster than training them in the real world, but the training data for doing so is not readily available and must be generated by software such as Cadence's physics engines. The goal ⁠of the collaboration, the two CEOs said, is to shrink the time needed to get robots to carry out useful tasks. "The more accurate (generated training data) is, the better the model will be," said Cadence CEO Anirudh Devgan. (Reporting by Stephen Nellis in Santa Clara, California Editing by Nick Zieminski)

Cadence and Nvidia Join Forces to Accelerate Intelligent Robotics

Cadence Design Systems and Nvidia have announced a strategic partnership aimed at accelerating the development of artificial intelligence applied to robotics. This aims to combine Cadence's physical simulation tools, capable of replicating real-world material behavior, with Nvidia's AI models used to train robots in virtual environments. This approach allows robotic systems to be trained faster than in real-world conditions by multiplying learning scenarios without hardware constraints. By leveraging simulation, the companies hope to significantly reduce the time required to make robots operational and capable of executing concrete tasks. Both groups believe this collaboration could accelerate the transition from research to industrial application. By combining the precision of physical simulations with the power of artificial intelligence models, they aim to improve development efficiency and foster faster adoption of robotic solutions across various sectors.

Cadence, Nvidia working together on developing AI for robotics

SANTA CLARA, California, April 15 (Reuters) - Cadence Design Systems and Nvidia are partnering to further the development of artificial intelligence for robots, the CEOs of the two companies said on Wednesday. Cadence, which is one of the major suppliers of the software used in designing advanced computing chips, is working with Nvidia to integrate its physics engines, which predict how real-world materials interact, with Nvidia AI models designed to train robots inside computer simulations. Training robots inside such simulations can be faster than training them in the real world. The goal of the collaboration, the two CEOs said at a conference hosted by Cadence in Santa Clara, California, is to shrink the time needed to get robots to carry out useful tasks. (Reporting by Stephen Nellis in Santa Clara, California)