Nvidia Says Physical AI Has Entered a Golden Age of Development, Will Deepen Cooperation with South Korean Companies

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Nvidia: Physical AI Ushers in a Golden Age, Will Deepen Cooperation with Samsung, SK Hynix and Others

BlockBeats news, November 9, according to Yonhap News Agency, Nvidia stated at the "Nvidia AI Day Seoul 2026" held on November 9 that as agentic AI accelerates robot development, training and deployment, physical AI is ushering in a golden age of development and will become an important direction for the next stage of the AI industry.

Deepu Talla, Vice President of Robotics and Edge AI at Nvidia, said that robot development involves three major stages: model training, simulation and actual deployment. Nvidia will provide complete technical support for robot development from training and testing to implementation through computing platforms such as DGX, RTX and Jetson, as well as Omniverse digital twin technology.

In the South Korean market, Nvidia is cooperating with Samsung Electronics and SK Hynix to use Omniverse to build digital twins of semiconductor factories for equipment and production process monitoring; cooperating with Hyundai Motor Group to train robots through digital twins, with simulation speeds reaching hundreds of thousands of times faster than real time; and cooperating with LG Electronics to use the GR00T platform to train its robot CLOiD to complete object grasping and handling tasks.

In addition, Nvidia also announced that it is working with Kakao Mobility to advance the development of L4 autonomous driving systems in South Korea, planning to integrate Nvidia's Hyperion vehicle sensor and computing platform and Halos safety verification technology into its autonomous driving software, initially basing development on Kia PBV dedicated models.

Original link https://m.theblockbeats.info/flash/376301

Key points

NVIDIA stated at the "NVIDIA AI Day Seoul 2026" held on November 9, 2026, that Physical AI is ushering in a golden age of development.
Deepu Talla stated that robotics development involves three major stages: model training, simulation, and real-world deployment.
NVIDIA will provide technical support for robot development through DGX, RTX, Jetson, and Omniverse.
NVIDIA is collaborating with Samsung Electronics and SK Hynix to build digital twins of semiconductor factories using Omniverse.
NVIDIA and Hyundai Motor Group are collaborating to train robots using digital twins.
NVIDIA and LG Electronics are collaborating to train the robot CLOiD on the GR00T platform to perform object grasping and carrying tasks.
NVIDIA announced that it is advancing the development of a Korean L4-level autonomous driving system with Kakao Mobility, initially based on Kia's specialized PBV model.

AI-assisted interpretation

The following is analysis, separate from reported facts. Verify important claims independently.

Physical AI refers to the AI used in real-world devices. The article focuses on robotics and autonomous driving: first training the model, then testing it through simulation, and finally deploying it on actual devices.

Why it matters to readers

If these collaborations progress, NVIDIA’s computing platform, simulation, and safety verification technologies will cover more robotics, factory, and autonomous driving application scenarios.

This is not a single product launch, but rather NVIDIA demonstrating how its AI technology is being applied in real-world scenarios such as robotics, manufacturing, and autonomous driving.

Risks and unknowns

The information is derived from media reports that paraphrase Yonhap News Agency coverage and event details; no link to NVIDIA’s original announcement has been provided as evidence.
The evidence does not specify the order size, revenue impact, or specific timeline for the relevant collaboration.
The actual deployment progress of the digital twin factory, robot training, and L4 autonomous driving projects still requires subsequent confirmation.

Nvidia Says Physical AI Has Entered a Golden Age of Development, Will Deepen Cooperation with South Korean Companies

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