NVIDIA has unveiled “Mega,” an Omniverse blueprint aiming to accelerate the delivery, optimisation, and operation of robot fleets by harnessing digital twins.
The Mega blueprint provides enterprises with a powerful reference architecture combining accelerated computing, AI, Isaac robotics software, and Omniverse technology. Together, these NVIDIA tools enable the development, testing, and fine-tuning of digital twins – sophisticated virtual replicas of real-world facilities – before transitioning solutions into physical environments.
Modern warehouses and factories routinely deploy fleets of hundreds of autonomous machines, ranging from self-driving forklifts to robotic arms and humanoid assistants. These systems increasingly rely on advanced sensors and autonomy, which, in turn, demand coordinated testing and training. Mega seamlessly integrates these components within its digital ecosystem.
Using this framework, enterprises can simulate immense complexities, including AI-driven robot navigation, video analytics, agentic systems, and other equipment operations, all within a controlled digital sphere.
Simulating intelligent operations
The system incorporates Omniverse Cloud Sensor RTX APIs, which enable hyper-detailed sensor simulation for any facility machinery. The result is a high-fidelity, large-scale simulation of industrial workflows—empowering robots to address tasks and navigate real-world hazards in a risk-free virtual environment.
KION Group, a global leader in supply chain solutions, serves as one of Mega’s first adopters. The company collaborates with NVIDIA and consulting giant Accenture to implement the Omniverse blueprint across retail, consumer packaged goods, and parcel services.
“At KION, we leverage AI-driven solutions as an integral part of our strategy to optimise our customers’ supply chains and increase their productivity,” explained Rob Smith, CEO of KION GROUP AG.
“With NVIDIA’s AI leadership and Accenture’s expertise in digital technologies, we are reinventing warehouse automation. Bringing these strong partners together, we are creating a vision for future warehouses that evolve with the world around them and can handle nearly any supply chain challenge.”
Mega provides manufacturers and operators with a world simulator—a vital tool for developing “robot brains” capable of learning and decision-making at complex scales. Robots operating within facilities require repeated testing across a variety of scenarios to refine their algorithms and ensure operational safety. Mega’s simulator helps companies navigate this complexity by generating synthetic datasets and leveraging NVIDIA Isaac’s ROS (Robot Operating System) pipeline.
As a result, simulated robots develop the ability to perceive dynamic surroundings, form logical plans, and execute tasks as part of a closed feedback loop. By operating in digital replicas of real-world facilities, enterprises can achieve higher precision—anticipating productivity bottlenecks and testing facility configurations before making costly changes to physical locations.
Similarly, ongoing optimisations are made possible. The digital twins in the Mega blueprint from NVIDIA evolve in parallel with their real-world counterparts, ensuring the physical robots progress alongside simulated improvements.
Driving industrial AI transformation
Global consulting powerhouse Accenture aims to bring Mega’s transformative potential to facilities worldwide. As part of its AI Refinery for Simulation and Robotics, the firm integrates NVIDIA’s AI tools with Mega’s unique capabilities to foster next-generation design and operational practices.
Through these efforts, Accenture is delivering a suite of new services, such as Custom Robotics Manufacturing, Intelligent Humanoid Robotics, and AI-driven Supply Chain Simulations. This approach helps businesses future-proof operations in response to ever-changing supply chain demands, seasonal surges, and fluctuating workforce availability.
Julie Sweet, chair and CEO of Accenture, described the collaboration with NVIDIA and KION as marking a “new frontier of value” for clients.
“As organisations enter the age of industrial AI, we are helping them use AI-powered simulation and autonomous robots to reinvent the process of designing new facilities and optimising existing operations,” Sweet noted. “Our collaboration will help clients plan their operations in digital twins, where they can run hundreds of options and quickly select the best for current or changing market conditions.”
By providing a software-defined approach to factories and warehouses, NVIDIA’s Mega signals a significant shift for the physical industrial market. The convergence of AI, robotics, and digital twins promises to streamline logistics, reduce inefficiencies, and inject intelligence into industrial operations.
NVIDIA made numerous major AI announcements during CES 2025. You can read up on those here.
(Image Credit: KION Group)
See also: Motorola and Nokia unveil AI drones for safety-critical industries
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