Virtual Factory

Virtual Facility Integration

Develop advanced, generative AI-enabled virtual facility solutions.

Workloads

Simulation / Modeling / Design

Industries

Manufacturing

Business Goal

Innovation

Products

NVIDIA Isaac Sim
NVIDIA Metropolis
NVIDIA Omniverse
NVIDIA AI Enterprise
NVIDIA Modulus
NVIDIA CuOpt
NVIDIA Avatar Cloud Engine

The Value of Virtual Facilities

New possibilities—from planning to operations.

Virtual facilities, including factories, warehouses and distribution centers, semiconductor fabs, and data centers, unlock new possibilities for the world’s heavy industries, allowing them to design,simulate, operate, and optimize their assets and processes—entirely virtually.

These physics-based industrial digital twins bring many benefits to teams, including:

Improved communication and decisions: During facility design, construction, and commissioning, virtual facilities streamline communication for project stakeholders, allow teams to visualize and make decisions in context, and ensure that decisions are informed by the most current data.

Simulation of ideal layouts: Teams can connect virtual facilities to simulation tools to optimize facility designs for production and material flow, ergonomics, and safety.

Optimization of operations: By integrating virtual facilities with real-time production data, teams can rapidly identify, analyze, and resolve operational issues..

Training and testing autonomous systems: AI and robotics developers can leverage virtual facilities to develop and test the generative physical AI that powers autonomous systems deployed in physical facilities.

Quick Links


“Through the NVIDIA Omniverse API, Siemens empowers customers with generative AI to make their physics-based digital twins even more immersive. This will help everybody to design, build and test next-generation products, manufacturing processes and factories virtually before they are built in the physical world. By combining the real and the digital worlds, Siemens digital twin technology is enabling companies around the world to become more competitive, resilient and sustainable.”

Roland Busch
President and CEO of Siemens AG

Develop Virtual Facility Solutions With NVIDIA Omniverse, NVIDIA AI, and OpenUSD

Based on OpenUSD, the NVIDIA Omniverse™ platform provides developers with SDKs, APIs, and microservices to bring data interoperability, physically based visualization, generative AI, and real-time collaboration to software for designing, building, and operating virtual facility digital twins.

Unified Data Pipelines and Collaborative Workflows

By developing solutions on OpenUSD and leveraging Omniverse Kit App Streaming, developers unify complex 1D, 2D , and 3D data pipelines and bring new levels of collaboration to planning and operations teams, so they can interact with, review, and modify facility plans and remotely monitor operations, together, in real time.

Physically Accurate Simulations

With NVIDIA RTX™ technology, NVIDIA Isaac™, and NVIDIA Modulus, developers take advantage of the latest AI, computer graphics, and robotics capabilities to power  physically accurate digital twins of production facilities and industrial scale simulations.

AI-Enabled Optimization and Assistance

Developers integrate AI into their virtual facility solutions using NVIDIA Metropolis for Factories, NVIDIA cuOpt™, and NVIDIA ACE, enabling their users to optimize facilities for complex automation, material flow, safety, and human-robot interaction.

Easy-to-Use Developer Tools and Application Building Blocks

To quickly build, deploy, and scale their solutions, developers use NVIDIA SDKs, NVIDIA BlueprintsNIM™ inference microservices, low- and no-code Python or C++ development tools, learning labs, reference architectures, workflow guides, and easy-to-modify extensions and app samples. Developers looking to connect their virtual facility applications and workflows to real-time operations data from Azure IoT Operations can take advantage of an Azure Arc Jumpstart guide and GitHub repo.

Quick Links


“It all starts with planning - a complex process in which we need to connect many tools, datasets and specialists around the world. Traditionally we are limited as data is managed separately in a variety of systems and tools. Today we are developing custom Omniverse applications to connect our existing tools, know-how, and teams in a unified view.”

Dr Milan Nedeljković
Member of the Board of Management of BMW AG

Get Started With Our Partners

See the ecosystem of developers integrating OpenUSD, NVIDIA Omniverse, and NVIDIA AI into their software, solution, and services portfolios.

You can get started with NVIDIA Omniverse developer tools, SDKs, and APIs. For insight into what we’ve learned about successful digital twin initiatives, review our ebook and factory  digital twin reference architecture. You can also take a free course from NVIDIA Deep Learning Institute and review our Generative AI for Digital Twins Guide and technical blog on connecting facility digital twins to IoT data.

To take this experience to the next level, stream your immersive OpenUSD digital twins to the Apple Vision Pro with the spatial streaming for Omniverse digital twin workflow.

Universal Scene Description (OpenUSD) is more than just a file format. It's an open and extensible ecosystem for describing, composing, simulating, and collaborating within 3D worlds.

OpenUSD encompasses a collection of fundamental tools and capabilities that accelerate workflows, teams, and projects. It delivers everything you need, whether you’re creating assets and environments for large-scale, connected virtual worlds, or building the tools that will make these worlds possible.

Our enterprise-ready NVIDIA-Certified Systems™ are purpose-built to handle scale and complexity and are tested and optimized for developing and deploying virtual facility solutions powered by NVIDIA Omniverse and OpenUSD.

Start Developing Virtual Facility Solutions

Get started with Omniverse developer tools, SDKs, and APIs.

More use cases

Computer Vision / Video Analytics

Synthetic Data Generation

Synthetic data is created using computer simulations. It includes 2D images, 3D data, and text and can be used with real-world data to train AI models for computer vision—saving training time and reducing costs.

Explore Virtual Facility Solutions Built on NVIDIA Omniverse

Remotely Monitoring Industrial Operations

To enable developers to develop advanced 3D applications and workflows for industrial operations  use cases,  NVIDIA and Microsoft Azure have developed a reference workflow, samples, and step by step developer guide. 

Training Robots and Streamlining Assembly

Foxconn, the world’s largest electronics manufacturer, uses digital twins and industrial AI to bring facilities online faster than ever.

Optimizing Layouts, Robotics and Logistics Systems

BMW Group developers build factory planning applications to connect siloed data, tools, and teams around the world, enabling them to virtually optimize layouts, robotics, and logistics systems—years before factories come online.

Redefining Production and Industrial Inspection

Delta Electronics developers build digital twin and synthetic data generation solutions to accelerate training of their computer vision models by 100X, while achieving 90% object detection accuracy.

Accelerating Facility Design and Simulating Manufacturing Operations

Wistron developers build digital twin software to enable teams to test and optimize factory layouts, increase productivity, and accelerate factory development by 50%.

Simulating and Optimizing Factory Operations

Pegatron’s developers built a flexible digital twin platform for engineers and factory managers to collaboratively plan, simulate, and optimize their production lines, providing real-time insights about facilities, equipment, and maintenance tasks.

Increasing Maintenance Productivity

SoftServe helped Continental add generative AI functionalities to its virtual factory solutions and further enhance the efficiency of its engineering teams.

Revolutionizing Automotive Design and Manufacturing

Mercedes-Benz is taking a digital-first approach in vehicle production to design and plan manufacturing and assembly facilities before going into production.