NVIDIA’s Omniverse Enterprise Platform Has the Potential to Reshape the Future of Manufacturing and Collaboration

NVIDIA’s Omniverse Enterprise Platform Has the Potential to Reshape the Future of Manufacturing and Collaboration

In Collaboration by Fred McClimansLeave a Comment

NVIDIA’s Omniverse Enterprise Platform Has the Potential to Reshape the Future of Manufacturing and Collaboration

The News: NVIDIA has announced the coming general availability of Omniverse Enterprise, an RTX-based multi-GPU simulation and collaboration platform that enables global 3D design teams working across multiple software suites to collaborate in real time in a shared virtual space. NVIDIA Omniverse Enterprise makes it possible for 3D production teams — which are often large, diverse in skills and geographically dispersed — to work seamlessly together on complex projects. Rather than requiring in-person meetings or exchanging and iterating on massive files, designers, artists and reviewers can work simultaneously in a virtual world from anywhere, on any device. NVIDIA Omniverse Enterprise has been in early evaluations with some of the world’s most sophisticated design teams at companies like BMW Group, Foster + Partners and WPP. It follows the launch three months ago of an open beta for individuals, which has been downloaded by nearly 17,000 users. The Omniverse platform is scheduled to be available this summer as a subscription-based, per-seat service. Read the press release from NVIDIA here.

NVIDIA’s Omniverse Enterprise Platform Has the Potential to Reshape the Future of Manufacturing and Collaboration

Analyst Take: NVIDIA’s Omniverse enterprise platform sets the stage for NVIDIA to do what it does best, open new market opportunities for its customers and enhance its competitive moat. I see tremendous potential for Omniverse and its ability to reshape the future of any industry involved in manufacturing and design and collaboration as well. Here’s why…

Imagine your favorite movie. The action, the characters, the traffic, and the noise. Now imagine you’re standing there in the middle of it. Virtually. There’s the row of stolen cars that John Wick is about to walk past. There’s the bustle of activity in the corner where something is about to happen. But it’s not a movie, it’s your manufacturing facility. And you’re standing in a virtual version, a digital twin of the real thing.

Every device in the real facility has an array of IoT (Internet of Things) sensors that capture all of the physical and digital actions. That data is captured in real time and fed into this virtual simulation, the simulation that you’re now standing in.

You look around and hear the hum of the AC units and wonder “what would happen if we adjusted the temperature? Or if that unit failed? How long before we had to stop production?”

You query your staff and ask them to isolate the assembly bots that generate the most heat and see if there is a way to reconfigure the production line to have them closest to the emergency cooling system. They run the simulations as you stand there in the middle of the facility and then, like Neo’s Matrix, the entire facility morphs into something just a bit different. Just a bit more efficient. A bit cooler. And with less stress for the staff. You’ve just reconfigured your facility.

Your changes are automatically sent to your suppliers and partners and within minutes your entire supply chain and distribution system has access to your new model so they can test, comment, and collaborate securely with your team on the proposed changes.

Together, you test it, running days, weeks, months and then years of simulated operations, noting what works, what doesn’t, and then refine the model until asset availability is maxed out. Your IT, operations, HR, and finance teams are all involved, as are sales. Your PR team will follow.

When you’re done, a proposed update to the physical facility is drafted and implemented. That’s the power of the NVIDIA’s Omniverse, the ability to capture an organization’s entire operations in real time and model it forward. Improving it. Testing it. And, based on massive amounts of data and machine learning, anticipating the unexpected before it occurs.

Creating the Virtual Omniverse

There are five components of NVIDIA’s Omniverse Enterprise platform:

  • Nucleus, a publish/subscribe service that allow applications, renderers, and microservices to build and share a virtual world within the Omniverse.
  • Connect, a library of plugins used to connect third-party applications to the Nucleus.
  • The Kit, an extension-based toolkit that allows users to build apps and microservices within the Omniverse platform.
  • Simulation, a tool for creating objects (assets) that exist within the Omniverse, including NVIDIA’s open-source physical simulator, PhysX, and support for Rigid Body Dynamics, Destruction and Fracture, Vehicle Dynamics, and Fluid (flow) Dynamics.
  • RTX Renderer, a rendering tool that supports rendering engines compliant with Pixar’s Hydra architecture (yes, that Pixar).

NVIDIA’s Omniverse uses Pixar’s open-source, and incredibly popular, Universal Scene Description tool (USD), originally designed to allow the creation of virtual 3D movie worlds and repurposed here to allow for the description and updating of an organization’s assets, people, and processes.

NVIDIA’s Omniverse in Action

One of the things I’ve always enjoyed about NVIDIA is its approach to the market. Looking beyond its own products, NVIDIA focuses on its customer’s applications and the growth of their own industries, such as Graphics, Gaming, Autonomous Vehicles, and Artificial Intelligence. But NVIDIA’s Omniverse is, in a way, universal with the ability to help all industries get the most value out of their business (and NVIDIA’s chips and technologies).

Within NVIDIA’s Omniverse, complex worlds can be designed to mimic both the virtual and the real world. With enough inputs that represent real-world assets, you can mirror reality in real time, which is exactly what BMW is doing today. BMW has 31 factories and 57,000 employees distributed around the world and is constantly changing its production lines to accommodate different production runs and vehicle customizations. By capturing data from its factories and creating a digital twin within the Omniverse, BMW’s distributed teams are able to collaboratively design, test and reconfigure individual manufacturing lines, including using employees wearing motion-capture suits to gather real-world data and virtually test new designs.

As I mentioned above, I see NVIDIA’s Omniverse as a tool that could help reshape the future of manufacturing. But I also see the possibility for this type of collaborative simulation tool to model and improve not just manufacturing but all aspects of any business in almost any industry. Welcome to the virtual future of business planning.

Futurum Research provides industry research and analysis. These columns are for educational purposes only and should not be considered in any way investment advice.

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Image Credit: AEC Magazine


The original version of this article was first published on Futurum Research.

Fred is an experienced analyst and advisor, bringing over 30 years of experience in the digital and technology markets. Most recently, Fred launched the equity research team at Samadhi Partners and provides marketing strategy through the Wasabi Rabbit digital agency. He previously served as an EVP and Research Vice President at HfS Research, launching its Digital Trust practice and coverage of emerging "trust-enabling" technologies. Fred previously founded analyst firms Current Analysis, a global tech-sector competitive intelligence and market advisory (acquired by PDM), Decisys, an analytical consultancy (acquired by the Burton Group/Gartner), and the Aurelian Group. Fred’s analyst and consulting experience also includes Gartner and E&Y, with technology experience at Newbridge Networks’ Advanced Technology Group (now Alcatel) and DTECH LABS (now part of Cubic Corporation).

Fred studied engineering and music at Syracuse University. A frequent author and speaker, Fred has served as a guest lecturer at the George Mason University School of Business (Porter: Information Systems and Operations Management), keynoted the Colombian Associación Nacional De Empressarios Sourcing Summit, served as an executive committee member of the Intellifest International Conference on Reasoning (AI) Technologies, and has spoken at #SxSW on trust in the digital economy. His analysis and commentary has appeared through venues such as Cheddar TV, Adotas, CNN, Social Media Today, Seeking Alpha, Talk Markets, and Network World (IDG).

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