Virtual Factory

Virtual Factory

Develop advanced, generative AI-enabled virtual factory solutions.

Workloads

Simulation / Modeling / Design

Industries

Manufacturing

Business Goal

Innovation

Products

NVIDIA Omniverse Enterprise

The Value of Virtual Factories

New possibilities—from planning to operations.

Virtual factories unlock new possibilities for the world’s heavy industries, allowing them to design, build, 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 factories 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 factories to simulation tools to optimize facility designs for production and material flow, ergonomics, and safety.

Optimization of operations: Teams can integrate their virtual factories with real-time production data to identify, analyze, and resolve issues.

Training and testing autonomous systems: AI and robotics developers can train and test the AIs and robotics that run in the physical factory.

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“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 Factory Solutions With NVIDIA Omniverse and OpenUSD

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

Unified data pipelines and collaborative workflows.

Building solutions on OpenUSD allows developers to unify complex data pipelines and bring new levels of collaboration to planning and operations teams, so they can interact with, review, and modify factory plans and operations, together, in real-time.

Physically accurate simulations.

By powering their solutions with NVIDIA RTX™ technology, developers take advantage of the latest advancements in AI, ray tracing, and simulation to deliver physically accurate simulations of factories.

Easy-to-use developer tools and application building blocks.

To quickly build, deploy, and scale their solutions, developers can use NVIDIA SDKs and APIs, low- and no-code Python or C++ development tools, learning labs, reference architectures, and easy-to-modify extensions and app samples.

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“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 that are integrating OpenUSD and Omniverse technologies into their software, solution, and services portfolios.

There are five key steps to developing digital twins: 

  1. Identify a use case
  2. Evaluate data and environment
  3. Build a team
  4. Start small 
  5. Measure and communicate impact

Learn More and get insight into what we’ve learned about successful digital twin initiatives in this ebook.

Get started with the ‘How to Build OpenUSD Applications for Industrial Digital Twins’  NVIDIA Deep Learning Institute course.

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 to run Omniverse workloads and applications.

Get Started

Start developing advanced, generative AI-enabled virtual factory solutions today.

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.

Developers in Action

Accelerating Factory Development with Digital Twins

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

Retooling Assembly Lines in Simulation

Mercedes-Benz developers build digital twins to retool, configure and optimize assembly lines in physically accurate simulations, reducing supplier coordination processes by 50%.

Planning Future Factories with Digital Twins

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.