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In Nvidia CEO Jensen Huang’s keynote at CES 2025, Nvidia announced the Mega Omniverse blueprint for building digital twins of industrial robot fleets.
The new framework aims to enable a new era of industrial AI and robot simulation for factories and warehouses through software-defined testing and optimization, the company said.
According to Gartner, global end-user spending on all IT products in 2024 was $5 trillion. The industry is built on an electronic computing fabric, fully software-defined and accelerated, and now has generative AI available. But while huge, it is only one part of a larger physical industrial market that relies on the movement of atoms.
“In the future, all factories will have digital twins,” Huang said.
Today, 10 million factories, approximately 200,000 warehouses, and 40 million miles of highways make up the “computing” fabric of our physical world. However, vast networks of production facilities and distribution centers are still painstakingly designed, operated, and optimized manually.
In warehousing and distribution, operators face highly complex decision optimization problems: a matrix of variables and interdependencies across human worker, robot and agent systems and equipment. Unlike the IT industry, the physical industrial market is still waiting for its software-defined moment.
That moment is approaching, Nvidia said.
Today at CES, the company announced Mega, an omniverse blueprint for developing, testing, and optimizing physical AI and robot fleets at scale with digital twins before deploying them to real-world facilities. .
Advanced warehouses and factories use fleets of hundreds of autonomous mobile robots, robotic arm manipulators, and humanoid robots that work alongside humans. Sensor and robot autonomy systems are becoming increasingly complex and require tailored training in simulation to optimize operation, ensure safety, and avoid disruption.
Mega provides reference architectures for Nvidia Accelerated Computing, AI, Nvidia Isaac, and Nvidia Omniverse technologies to enterprises to develop and develop digital twins of AI-powered robot brains that power robots, video analytics AI agents, equipment, and more. Test and handle massive complexity and scale. The new framework brings software-defined capabilities to physical facilities, enabling continuous development, testing, optimization, and deployment.
Developing an AI brain using a world simulator for autonomous orchestration
With a mega-driven digital twin that includes a world simulator that coordinates all robot activities and sensor data, companies can continuously update the facility’s robot brains to execute intelligent routes and tasks for operational efficiency. can be increased.
This blueprint uses the Omniverse Cloud Sensor RTX API to enable robot developers to simultaneously render sensor data from all types of intelligent machines in a factory for high-fidelity, large-scale sensor simulations. Masu. This allows you to test your robot in an infinite number of scenarios within your digital twin using synthetic data from a software-in-the-loop pipeline powered by Nvidia Isaac ROS.
Supply chain solutions company Kion Group is working with Accenture and Nvidia to be the first company to deploy Mega to optimize its retail, consumer packaged goods, and delivery services operations.
Huang gave a glimpse of the future of this collaboration on stage at CES, showing how businesses can use the Mega Omniverse Blueprint to navigate complex webs of decision-making.
“At Kion, we leverage AI-driven solutions as an integral part of our strategy to optimize our customers’ supply chains and improve productivity,” Rob Smith, CEO of Kion Group, said in a statement. Masu. “Leveraging Nvidia’s AI leadership and Accenture’s digital technology expertise, we are reinventing warehouse automation.By bringing together these powerful partners, we are building a system that is smart and agile. We are creating a vision for the warehouse of the future that can evolve with the world around it and address almost any supply chain challenge.”
Increase operational efficiency with Mega Omniverse Blueprints
Kion and Accenture are adopting the Mega Omniverse blueprint to drive operational efficiency as they build the next generation supply chain for Kion and its customers. Kion can capture and digitize Omniverse warehouse digital twins using computer-aided design files, video, LIDAR, imagery, and AI-generated data.
Kion uses Omniverse digital twins as a virtual training and testing environment for its Nvidia Isaac-powered industrial AI robotic brains, leveraging smart cameras, forklifts, robotic equipment, and digital humans. Kion’s warehouse management software, which integrates Omniverse digital twins, can create and assign missions to robot brains, such as moving packages from one location to another.
These simulated robots can perform tasks by perceiving and reasoning about the environment, planning their next movements, and performing the actions simulated in the digital twin. The robot’s brain recognizes the results and decides the next action, and the cycle continues with Mega precisely tracking the state and location of every asset in the digital twin.
Serve any facility with Mega
Accenture, a global leader in professional services, has selected Mega as part of its AI Refinery for simulation and robotics, built on Nvidia AI and Omniverse, to help organizations use AI simulation to improve factory and warehouse operations. We help you reinvent your design and ongoing operations.
Accenture is using its blueprints to deliver new services such as training and fine-tuning custom robotics and manufacturing infrastructure models. Intelligent humanoid robotics. Industrial Manufacturing and Logistics Simulation and Optimization with AI — Extending the power of physical AI and simulation to factory and warehouse operators around the world. For example, an organization can consider numerous warehouse options before selecting and implementing the best one.
“As organizations enter the era of industrial AI, we are leveraging AI-powered simulations and autonomous robots to create new “We are helping them reinvent the process of designing facilities and optimizing existing operations.” “Working with Nvidia and Kion, we can help our clients plan their operations with a digital twin, which enables them to execute hundreds of options and adapt to current or changing conditions, such as seasonal market demand or workforce availability. This represents a new frontier of value that our clients can achieve with technology, data and AI.”
