How Nvidia’s Omniverse is changing real-time 3D design collaboration across industries (VB On-Demand)

Presented by Supermicro

Large-scale virtual 3D collaboration has arrived. See how NVIDIA’s Omniverse Enterprise Platform with the new addition of NVIDIA OVX enables enterprises in all industries to create digital twins and maximize iterations in an open, easily expandable platform designed to handle your workload. work.

Watch on demand here.

Effective 3D design collaboration between teams is essential in many industries. But these teams are increasingly dispersed across the globe, working remotely on compute-intensive technologies and incompatible software. That’s where NVIDIA’s Omniverse comes in. It is a scalable, multi-GPU, real-time reference development platform for 3D simulation and design collaboration via virtual worlds. Teams, assets, and creative apps are brought together in a single interface.

The platform combines NVIDIA’s ray tracing, physics simulation, and real-time AI technologies with the power of accelerated computing on NVIDIA RTX-enabled workstations and servers to enable remote teams to collaborate live in shared photorealistic 3D worlds. Omniverse is a scalable platform, enabling not only design collaboration, but also the ability to develop and operate industrial digital twin simulations.

With the recent addition of NVIDIA OVX, which is purpose-built to power large-scale industrial digital twins from the data center, designers, engineers, and planners can build and operate physically accurate digital twins of buildings or create massive, true-to-life digital twins. reality simulation environments with precise time synchronization between the physical and virtual worlds.

“NVIDIA helps users create a digital twin of the world; its partnership with Supermicro means that teams of hundreds of people can collaborate simultaneously to build and manipulate these worlds,” said Erik Grundstrom, director, FAE and director of business development at Supermicro. “The added value of Omniverse Enterprise is not only more efficient collaboration, but also time to finish, time to finish your work, time to get things done. Today’s projects can be done a lot faster with Omniverse Enterprise than they have been in the past.

How Supermicro is super-powering Omniverse use cases

Omniverse Enterprise’s “Nucleus” database and collaboration engine enables instant, real-time editing on a shared 3D scene without the need to download and reload entire scenes and send them from designer to designer. other. Several people can then work on these files simultaneously and make changes in real time. Supermicro ensures that each deployment can handle these real-time changes seamlessly. It designs each customer’s NVIDIA-certified workstations and servers around their workload, not the other way around, and each deployment can be customized to that customer’s particular needs.

“Supermicro has such a wide range of products, so many different SKUs, that we’re able to cater to exactly what a customer is looking for, and then consider all the different factors that go into deployment – like GDP , thermals, your powering your rack and building the best components to deploy it,” says Grundstrom. “All you need to run Omniverse Enterprise is an NVIDIA RTX GPU. We can do it in a million different ways, in a million different form factors.

The challenge of collaboration around the world is always latency, from customer experience to virtual desktop infrastructure. But if that issue is resolved, then the sky’s the limit, Grundstrom says. And with this problem solved, Omniverse Enterprise can accommodate hundreds of users at a time. This applies to media and entertainment, development of digital twins, architectural design, etc.

And in media and entertainment, having multiple users with multiple apps working on the same projects simultaneously has tremendous value. You no longer expect everyone to import and export workflows. Multiple users can also iterate and revise on the fly, to improve oversight and guidance, and to speed up approval cycles, which also makes it a huge productivity boost from a management perspective.

The Use Cases OVX and Digital Twins Unlock

While the primary use cases have been primarily in the industrial manufacturing and warehouse logistics segments, digital twins will enable the next era of industries and AI. A digital twin is a virtual representation of a physical asset, process, or environment that encompasses multiple autonomous systems all operating in real time.

In industries where digital simulations have long been hampered by cost and computational limitations, digital twin simulation is a game-changer with advanced design, modeling, automation, and testing capabilities. Just as the company has DGX for AI, it now has OVX for Omniverse.

BMW Group is using the capabilities of Omniverse Enterprise to develop and operate its state-of-the-art factory of the future. BMW engineers can use real-time data and monitoring to push the boundaries of smart manufacturing. They strive to optimize the ergonomics of human interactions, increase worker safety and improve product quality while reducing manufacturing costs and unplanned downtime.

Supermicro itself is creating a digital twin of its building in San Jose to emulate 5G RAN for customers. They design and deploy 5G servers that customers can interact with in real time, to monitor sensor data, from temperatures to voltages and more while they are running.

But it’s especially exciting in the scientific world, says Gundstrom, to be able to connect and collaboratively visualize, tune and optimize models based on real-time data with the highest possible quality. This requires a lot of computing power, and NVIDIA solved this problem with Omniverse and OVX. For example, Omniverse will be able to completely change the way we visualize things in the medical world, because healthcare delivery and research are so dependent on complex and precise visualization.

“With Omniverse, you can really use as much power as you want to solve an imaging problem,” he says. “With multi-GPU rendering, which is up to 64 GPUs simultaneously, you’re 100 times more efficient than the machine in a doctor’s office. Bringing that data outside of the doctor’s office and allowing a platform like Omniverse to enabling multi-party viewing and interaction is a huge step.

But the same thing then applies unilaterally to the sciences. Across disciplines, visualization tools are generally quite old, and much of the software they use isn’t optimized for higher-resolution visualization, or a GPU-intensive use case to render something like a 3D model in real time.

“Omniverse is changing that for science across the board, as well as manufacturing, media and entertainment, AEC fields, and more,” he says.

Access on request for free here.

Watch on demand to learn:

  • How Omniverse Enterprise is changing collaboration for creative teams across industries
  • Best use cases for 3D design collaboration and industrial digital twins
  • How to design and launch custom systems based on your own workloads
  • Real Case Studies of NVIDIA’s Top Customers


  • Michael Kaplan, Director, Global Business Development, Media & Entertainment at NVIDIA
  • Erik GrundstromDirector, FAE and Business Development, Supermicro
  • Charly Finkmetaverse author and consultant, moderator