Purpose-built to power the creation and operation of Omniverse applications at data center-scale.

Data Center Computing Systems for Building and Operating Virtual Worlds

Digital twins revolutionize how enterprises design, simulate, and optimize complex systems and processes. The NVIDIA OVX reference architecture is optimized to power the creation of real-time, physically accurate, AI-enabled metaverse worlds.

Accelerate the Most Demanding Omniverse Workloads



As the foundation of the NVIDIA OVX architecture, the OVX server delivers the most advanced RTX-accelerated graphics and AI capabilities to accelerate Omniverse Enterprise workloads. Each OVX server combines NVIDIA L40 GPUs with high-performance ConnectX and Bluefield networking technology in the leading data center platforms built and sold by NVIDIA-Certified partners.



The NVIDIA OVX SuperPOD architecture offers scalable performance for operating real-time simulations and AI-enabled digital twins at factory, city, or planetary scale. The building block of the OVX SuperPOD is a scalable unit that includes OVX servers, and optimized storage, compute, and networking infrastructure.  

NVIDIA Omniverse Cloud

NVIDIA Omniverse Cloud

Omniverse Cloud is powered by NVIDIA OVX systems. Omniverse Cloud delivers a scalable, end-to-end cloud platform to accelerate complex 3D workflows and enable groundbreaking new ways to create, simulate, and operate metaverse applications with NVIDIA Omniverse Enterprise.

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming See all Digital Twins Sessions sessions at GTC.

Building a Digital Twin of the German Rail Network to Deliver Next-Generation Railway Systems

Designing and implementing a large-scale digital twin that's comprised of thousands of kilometers of railway tracks, manifold infrastructure elements, and their direct neighborhood can be challenging. We'll show how we're tackling this challenge step-by-step, starting from exporting the HD map data we acquired from measurement drives to Omniverse down to the perception tasks inside the digital twin environment. In the end, we generate highly accurate synthetic data from Omniverse for arbitrary scenarios that are close to the ones gathered from real-world train operations, such as our Sensors4Rail project. We'll focus on specific challenges that arose when implementing train physics, such as train derailment or speed adjustment, as well as those we faced when implementing digital humans capable of autonomously walking on a train station.

Driving the Future of Smart Factories With Cloud-enabled Digital Twins

The future smart factory is based on Industry5.0, which is adding concepts such as human-centric (helping workers with technology) and resilient (lead time reduction) to the extension of the 4th industrial revolution. Several key concepts are (1) multi-sourced data transmission, storage, and analysis; (2) individualized human-machine interaction; and (3) virtual space and object simulations. These future smart-factory concepts can be realized by a "metafactory" platform, driven by cloud and digital twin technology. For those who want to start a manufacturing business or upgrade a production line, this metafactory platform service will change the whole factory life cycle. Before building a real factory, a virtual factory is built and used for production optimization, control software virtual commissioning, and remote operation.

Creating Digital Twins and Simulations of Industrial Robotic Workcells for Smart Factories

RIOS designs, tests, and implements advanced AI-powered robots-as-a-service (RaaS) work cells to enable the smart factory of the future. The extreme diversity in the manufacturing industry often means a one-size-fits-all solution doesn't exist in commodity robotics; instead, customers require bespoke hardware and software to solve their challenges. RIOS expeditiously co-develops industry-leading hardware and software to address these complex use cases, with clean sheet designs taking less than four months to pass acceptance testing at a customer site. Omniverse is a critical platform for reducing project risk, de-risking new work cell designs, and simplifying the development of complex robotic task execution. We'll highlight features of our internal Omniverse-based simulation and development platform to show how we quickly and efficiently deliver state-of-the-art robotics to our customers.

Microsoft and NVIDIA Partner on Industrial Metaverse

Omniverse connected to Microsoft 365 applications and Azure Cloud enables the broad ability to create and interact in 3D worlds for millions of enterprise users.

BMW Group Rolls Out NVIDIA Omniverse to Factories Worldwide

Automaker brings the power of Omniverse to its entire production network as part of its digital transformation.

Omniverse Cloud Now Available to Select Enterprises

The new NVIDIA platform-as-a-service offering running on Microsoft Azure enables businesses to digitize their entire product lifecycle—from design to manufacturing to marketing.

Omniverse Enables Automakers to Transform Their Entire Workflow

NVIDIA showcases how digitalization can deliver greater efficiency, safety, and customer enjoyment.

Announcing Third-Generation OVX Systems

Featuring NVIDIA BlueField-3 DPUs, L40 GPUs, ConnectX-7 SmartNICs, and the Spectrum Ethernet platform.

The Design and Simulation Conference for the Era of AI and the Metaverse

Discover how business leaders are accelerating time-to-production and reducing costs with digital twins.

  • The Opportunity of the Industrial Metaverse

    • Dean Takahashi, Lead Writer, Venture Beat
    • Tony Hemmelgarn, CEO, Siemens Digital Industries Software
    • Peggy Johnson, CEO, Magic Leap
    • Rev Lebaredian, VP Simulation Technology and Omniverse Engineering, NVIDIA
    • Matthew Ball, CEO, Epyllion
    • Inga von Bibra, CIO Research & Development, Mercedes-Benz AG

    At the exact moment digital transformation needed to be accelerated, technological evolutions in AI and large scale virtual world simulation are coming together to enable the Industrial Metaverse. Hear this panel of distinguished technical leaders and industry luminaries speak on how the 3D evolution of the internet is ushering in a new era of industrial opportunity with a new class of digital twins.

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  • Making Production More Sustainable with the Industrial Metaverse

    • Cedric Neike, Member of the Managing Board of Siemens AG and CEO Digital Industries, Siemens AG

    Industries worldwide face countless challenges and obstacles, such as making production more efficient and sustainable, or overcoming supply-chain interruptions. The good news is that we have the technologies to solve global challenges, but we need to implement them quickly and at scale! No company or country can do this alone. Instead, we need to work in ecosystems. For over a decade, the Siemens digital twin technology has been helping companies across all industries boost their productivity, efficiency, and sustainability. Siemens and NVIDIA are now driving the digital transformation further by partnering to enable the industrial metaverse: photorealistic, physics-based digital twins offer enormous potential to transform our economies and industries by providing a virtual world where people can interact and collaborate to solve real-world problems.

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  • Lowe’s Builds the Fully Digitized World

    • Cheryl Friedman, Vice President, Lowe’s Innovation Labs, Lowe's
    • Mason Sheffield,  Director of Creative Technology, Lowe’s Innovation Labs,  Lowe's

    Join this session to learn how FORTUNE 50 retailer Lowe's is digitizing the built world of home improvement. From our products to our stores to our customers’ homes, Lowe's is using digital twins to create new possibilities. Whether helping customers visualize the result of their room redesign or running simulations to optimize the layout of each store, Lowe’s advancements are removing friction from home improvement.

    View Details >

  • How to Build a Digital Twin: Full Design Fidelity Visualization & Aggregation of 3D Data

    • Brian Harrison, Director, Software Product Management, NVIDIA

    Start learning how to build a digital twin in NVIDIA Omniverse. Building a digital twin is a complex process and there are multiple ways to get started. In this session, we walk through a generalized example of one of the most common challenges in large scale design and digital twin projects—being able to aggregate disparate 3D datasets (ie. CAD, design, animation, or simulation) from many software ecosystems, and visualize them in full-design-fidelity with no data loss or model decimation. Learn how NVIDIA Omniverse’s connected and collaborative Universal Scene Description-based workflows can help unite and unlock your data and see examples of Omniverse Connectors and understand what questions to ask to determine which are best for your workflow. Be sure to check out "How to Build a Digital Twin: Bringing in Robotics" as a follow-up session.

    View Details > 

  • Customer-Driven Grocery Enabled by NVIDIA AI at Kroger

    • Azita Martin, VP & GM Artificial Intelligence for Retail and CPG, NVIDIA
    • Wesley Rhodes, VP of Technology Transformation and R&D, Kroger

    Kroger and NVIDIA embarked on a strategic collaboration earlier this year to re-imagine the shopping experience using AI-enabled applications and services. Join Wes Rhodes, Kroger’s VP of technology transformation and R&D, for a fireside chat on the progress his team has made in the fields of digital twin, AI, and Omniverse Avatar. These technologies and more are being adopted at Kroger in the service of improving customer focus experience while delivering value to Kroger’s bottom line.

    View Details >


Building Virtual Worlds and Simulating Digital Twins for the Enterprise

Whether creating vast imagined worlds, simulating complex environments, or automating next-generation factories, Omniverse Enterprise is transforming the way companies design and simulate across automotive, architecture, engineering, construction and operations, media and entertainment, and manufacturing.

Virtual World Building and Digital Twin Simulation for the Enterprise

Connect and Build Custom 3D Pipelines

Built on Universal Scene Description (USD), NVIDIA Omniverse brings seamless collaboration and enhanced performance to existing 3D workflows. Unlock full-design fidelity, real-time virtual worlds.

Simulate Virtual Worlds

Large-scale simulations of virtual worlds will enable the next era of AI and the industrial metaverse. Physically accurate virtual worlds serve as the training, testing, and validation grounds of robots and self-driving cars. When virtual worlds are connected to the physical world in perfect synchronization, a digital twin is born.

See OVX in Action

Image courtesy of BMW Group

BMW Group Celebrates Opening the World's First Virtual Factory in Omniverse

Automaker brings power of industrial AI to its entire production network as part of its digital transformation.

Connecting NVIDIA Omniverse to Microsoft Teams

Running on Omniverse Cloud in Microsoft Azure, this Accenture demo showcases how real-time 3D collaboration can shorten the time between decision-making, action and feedback.

Building Autonomous Railway Networks

To achieve climate neutrality by 2050, German national railway operator, Deutsche Bahn, is building autonomous railway networks and trains to maximize efficiency of existing railroad capacity for the transport of goods and passengers.

Optimizing Factory Design with NVIDIA cuOpt and Isaac Sim

See how NVIDIA cuOpt and Isaac Sim, powered by Omniverse and OVX, accelerate logistics workflows like factory layout optimization and AMR fleet training.

The NVIDIA OVX platform will provide the performance and scale needed for Omniverse simulations that will allow us to more quickly and accurately predict the intensity and progress of wildfires and optimize response efforts to mitigate their damaging impacts.  

— Justin Taylor | VP of Artificial Intelligence | Lockheed Martin

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In our current project, NVIDIA OVX will provide the scale, performance and compute capabilities that we need to generate data for intensive machine learning development and operate these highly complex simulations and scenarios.  

— Annika Hundertmark | Head of Railway Digitization | Deutsche Bahn

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