
Supply chains are increasingly becoming software-defined. At CES last week, NVIDIA Corp. announced 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 warehouses or factories.
‘Today’s 10 million factories, nearly 200,000 warehouses, and 40 million miles of highways form the ‘computing’ fabric of our physical world,” said NVIDIA. “But that vast network of production facilities and distribution centers is still laboriously and manually designed, operated, and optimized.”
The Santa Clara, Calif.-based company noted that warehouse operators face complex decision-optimization problems — matrices of variables and interdependencies across human workers, robotic and agentic systems, and equipment. These include fleets of hundreds of autonomous mobile robots (AMRs), robotic manipulators, and even humanoid robots working alongside people.
NVIDIA asserted that these systems require training in simulation to optimize operations, help ensure safety, and avoid disruptions.
Mega offers enterprises a reference architecture of NVIDIA accelerated computing, artificial intelligence, NVIDIA Isaac, and NVIDIA Omniverse technologies. Organizations can use Mega to develop and test digital twins for testing AI-powered robot “brains” that drive robots, video analytics AI agents, equipment and more for handling enormous complexity and scale.
NVIDIA added that its new framework “brings software-defined capabilities to physical facilities, enabling continuous development, testing, optimization, and deployment.”
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World simulator is the first step to autonomous orchestration
Mega-driven digital twins include a world simulator that coordinates robot activities and sensor data. Enterprises can use them to continuously update robots for intelligent routes and tasks, according to NVIDIA.
The blueprint uses Omniverse Cloud Sensor RTX APIs (application programming interfaces) that enable robotics developers to render sensor data from any type of machine, simultaneously, for high-fidelity, large-scale sensor simulation. 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.
KION Group AG is collaborating with Accenture and NVIDIA and was reportedly the first supply chain company to adopt Mega for optimizing operations in retail, consumer packaged goods (CPG), parcel services and more.
Jensen Huang, founder and CEO of NVIDIA, offered a glimpse into the future of this collaboration and discussed how enterprises can navigate decisions using the Mega Omniverse Blueprint.
“At KION, we leverage AI-driven solutions as an integral part of our strategy to optimize our customers’ supply chains and increase their productivity,” said Rob Smith, CEO of KION Group. “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 are part of a smart agile system, evolve with the world around them and can handle nearly any supply chain challenge.”

NVIDIA Mega Omniverse Blueprint offers efficiencies
KION and Accenture said they are using the Mega Omniverse Blueprint to build next-generation supply chains for KION and its customers. KION can capture and digitalize a warehouse digital twin in Omniverse by using computer-aided design (CAD) files, video, lidar, image, and AI-generated data.
The company said it uses the Omniverse digital twin as a virtual training and testing environment for its industrial AI, powered by NVIDIA Isaac, tapping into smart cameras, forklifts, robotic equipment and digital humans. KION has integrated its warehouse management software (WMS) with the digital twin to create and assign robots missions such as moving a load from one place to another.
These simulated robots can carry out tasks by perceiving and reasoning in environments, and they’re capable of planning next motions and then taking actions that are simulated in the digital twin. The robot brains perceive the results and determine the next actions, explained NVIDIA. This cycle continues, with Mega precisely tracking the state and position of all the assets in the digital twin.

Accenture brings Mega to facilities everywhere
Accenture is adopting Mega as part of its AI Refinery for Simulation and Robotics, built on NVIDIA AI and Omniverse. The global professional services provider said it can help organizations use AI simulation to update design and ongoing operations of factories and warehouses.
With the blueprint, Accenture is delivering new services, including:
- Custom robotics and manufacturing foundation model training and finetuning
- Intelligent humanoid robotics
- AI-powered Industrial manufacturing and logistics simulation and optimization
The company said the new services will “expand the power of physical AI and simulation to the world’s factories and warehouse operators.” For instance, an organization can explore multiple options for its warehouse before choosing and implementing the best one, according to Accenture.
“As organizations 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 optimizing existing operations,” said Julie Sweet, chair and CEO of Accenture.
“Our collaboration with NVIDIA and KION will help our 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, such as seasonal market demand or workforce availability,” she added. “This represents a new frontier of value for our clients to achieve using technology, data and AI.”