Nvidia launches Omniverse Cloud to support industrial 'digital twins'

Nvidia launches Omniverse Cloud to support industrial ‘digital twins’

Nvidia Corp continues to push the boundaries of the industrial realm, a virtual parallel to real space that simulates detailed physical assets in the virtual world, with its hyper-realistic physics simulation and collaboration product Omniverse.

Today during the virtual company GTC 2022 . Conference For developers, Nvidia has announced the launch of Omniverse clouda comprehensive, cloud-based SaaS solution for artists, developers, and enterprise teams to use Omniverse to design, deploy, and run metaverse applications anywhere in the world.

Omniverse is a real-time collaboration and simulation platform that enables realistic world-wide recreation. Using the platform, teams of designers and engineers can recreate and simulate cars, planes, buildings, factories, and more. All parts of the engine or plant can be designed with fully simulated physics in real time just like the real world to interact as they would in real life situations.

These are known as “digital twins,” entirely virtual twins of real spaces and objects that are part of the industrial metaverse. As a result, it can be iterated, changed, and experimented to understand what will happen before costly changes in the real world are needed.

With Omniverse Cloud, people and teams will be able to design and collaborate on workflows together without the need for on-premises computing power.

“The metaverse, the 3D Internet, connects virtual 3D worlds described in the Universal Scene Description and displayed through a simulation engine,” said Jensen Huang, founder and CEO of Nvidia. “With Omniverse in the cloud, we can connect teams around the world to design, build and operate virtual worlds and digital twins.”

Omniverse Cloud runs on a custom-built cloud computing architecture within Nvidia’s data centers and powerhouses Nvidia OVX Architecture for graphics, simulation and Nvidia HGX Servers for advanced AI workloads. It uses the Nvidia Graphics Delivery Network, a globally distributed data center network to deliver low-latency metaverse content that the company learned from its experience with GeForce Now, a cloud-based, low-latency video game streaming service.

Putting digital twins to work in the real world

The strength of digital twins is that they allow the real world to be simulated completely in the metaverse, similar to the advantages of being in a virtual world for testing and visualization along with the finality of the physical world.

Retail store Lowe’s Nvidia Omniverse Enterprise put augmented reality goggles to use for its employees by essentially giving them x-ray vision. For example, traditionally, in order to read a small label on a high box, employees would need to climb a ladder to see what was available. With the digital twin and augmented reality glasses, they can only search and the glasses can detect the data of the item that should be in that position.

Colleagues can also see through glasses that the shelves are properly stocked by comparing the augmented reality holograms of the digital twins with what is currently on the shelves — such as whether the wrong products are on the shelf or if there are too few. Then they can correct it.

“With the Nvidia Omniverse, we’re bringing data together in ways that were never possible, giving our partners superpowers,” said Seemantini Godbole, Lowe’s Chief Information and Digital Officer.

As for store management, it goes further, as the use of digital twins and AI store planners can improve customer experience by examining the products that shoppers buy with each other. By then working to position these products in close proximity to each other, and checking 3D heatmaps of foot traffic by customers, colleagues can move products closer together, to reduce the number of steps customers have to take to pick them up.

Nvidia also announced its collaboration with Digitale Schiene Deutschland, the digital division of German rail operator Deutsche Bahn, which has begun work on expanding the network’s capacity without building new routes. This effort required a system to safely automate trains with less progress between each other and would include building the nation’s first nationwide dual digital simulation of a complete track network.

Since it would involve building a realistic and physically accurate simulation of the entire track system, it would be a huge undertaking. It will also include routes that pass through cities and the countryside along with data from many sources including station platform measurements and vehicle sensors.

By using the digital twin of the entire network embedded in Omniverse and running alongside the physical rail network at the same time, being fed with the same data in real time, it will be able to use artificial intelligence to monitor sensors and other data and simulations to predict and prevent accidents.

“With Nvidia technologies, we can begin to realize the vision of a fully automated train network,” said Robin Schilling of the Lead Perception Group at DB Netz, part of Deutsche Bahn.

Photo: Nvidia

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