CES 2025, Las Vegas – NVIDIA announced at CES 2025 Mega, an Omniverse Blueprint for developing, testing, and optimizing physical AI and robot fleets at scale in a digital twin before deployment into real-world facilities.
NVIDIA Mega Omniverse Blueprint
Mega offers enterprises a reference architecture of NVIDIA accelerate computing, AI, NVIDIA Isaac, and technologies from the company to develop digital twins for testing AI-powered robot brains that drive robots, video analytics AI agents, equipment, and for more handling complexity and scale.
The new framework brings software-defined capabilities to physical facilities, enabling continuous development, testing, optimization, and deployment.
The blueprint uses Omniverse Cloud Sensor RTX APIs that enable robotics developers to render sensor data from any type of intelligent machine in the factory, simultaneously. This allows robots to be tested in an infinite number of scenarios within the digital twin, using synthetic data in a software-in-the-loop pipeline with NVIDIA Isaac ROS.
The first to adopt Mega for optimizing operations is supply chain solutions company KION Group, in collaboration with Accenture.
Founder and CEO of NVIDIA, Jensen Huang, offered a glimpse into the future of this collaboration on stage at CES. He demonstrated how enterprises can navigate a complex of decisions using the Mega Omniverse Blueprint.
KION uses the Omniverse digital twin as a virtual training and testing environment for its industrial AI’s robot brains, powered by Isaac, tapping into smart cameras, forklifts, robotic equipment, and digital humans. The warehouse management software can create and assign missions for robot brains, like moving a load from one place to another.
Accenture is adopting Mega Omniverse as part of its AI Refinery for Simulation and Robotics, built on AI and Omniverse. With the blueprint, Accenture is delivering new services like Custom Robotics and Manufacturing Foundation Model Training and Finetuning, Intelligent Humanoid Robotics, and AI-powered Industrial Manufacturing and Logistics Simulation and Optimization.
For more information, join NVIDIA at CES.
Ram found his love and appreciation for writing in 2015 having started in the gaming and esports sphere for GG Network. He would then transition to focus more on the world of tech which has also began his journey into learning more about this world. That said though, he still has the mentality of "as long as it works" for his personal gadgets.
