Develop and harness the power of physics-based, AI-enabled digital twins with OpenUSD.
Video courtesy of HEAVY.AI
The world’s enterprises are racing to digitalize and become software-defined. With NVIDIA Omniverse™, NVIDIA AI, and OpenUSD, developers are building a new era of digital twins to design, simulate, operate, and optimize their products and production facilities. Once born, these digital twins become the testing grounds for generative physical AI to power autonomous systems.
Explore five real-world developer use cases, and access insights and resources to develop your own digital twin solutions.
Follow this step-by-step guide to start your development journey with these new NVIDIA NIM microservices for digital twin and physical AI development.
Siemens and NVIDIA are collaborating to connect the Siemens Xcelerator and NVIDIA Omniverse platforms to unlock industrial digitalization.
“For over a decade, our digital twin technology has been helping customers across all industries to boost their productivity and today offer the industry’s most comprehensive digital twin. When Siemens Xcelerator is connected to Omniverse, we will enable a real-time, immersive metaverse that connects hardware and software, from the edge to the cloud, with rich data from Siemens’ software and solutions.”
— Roland Busch, President and Chief Executive Officer, Siemens AG
See the ecosystem of developers integrating NVIDIA Omniverse, NVIDIA AI, and OpenUSD into their software, solution, and services portfolios.
Developers in Action
BMW Group
Continental and SoftServe
Katana Studio
Mercedes-Benz
NVIDIA
Siemens Energy
Siemens Gamesa
UK Atomic Energy Authority
Foxconn
SAP
Siemens
Wistron
WPP, The Coca-Cola Company
Amazon Robotics
Lowe’s
PepsiCo
Earth-2 Data: DKRZ/MPI-M, ICON Model
Cesium
Lockheed Martin and NVIDIA
Ericsson
HEAVY.AI
Announcements
Toyota, Yaskawa, Seven & i Holdings, and Rikei introduce digital twins and industrial AI to deliver the next wave of digitalization.
Enterprises speed AI transformation with wave of innovation centers and services built on NVIDIA AI Enterprise and Omniverse industrial AI.
At the NVIDIA AI Summit in India, leading consulting partners and industrial manufacturers announced they are using NVIDIA OmniverseTM to virtually integrate next-gen factories.
New services accelerate Universal Scene Description-based workflows and development of industrial digital twins and robotics.
Developers gain access to new NVIDIA NIM microservices for robotics simulation in Isaac Lab and Isaac Sim, OSMO robot cloud compute orchestration service, teleoperated data capture workflow and more.
With NVIDIA NIM microservices USD Search and USD Code, marketing leader WPP is enabling the beverage company to accelerate iteration on creative campaigns at a global scale.
World’s leading creative and production services agencies are among the first to adopt OpenUSD and NVIDIA NIM microservices to create brand-accurate visuals.
Generative physical AI NIM microservices — and NVIDIA Metropolis reference workflows — are helping create intelligent, immersive work environments.
Announced at SIGGRAPH, the new deep-learning framework creates AI-ready virtual representations for autonomous vehicles, climate science and smart cities.
Orchestrate 3D data pipelines to design, develop, and visualize digital twins and large-scale virtual simulation environments.
Power photorealistic, physically accurate virtual environments with scalable robotics simulation and synthetic data generation.
Power digital twins and complex simulation workloads at scale with a purpose-built system.
Deliver AI safely and securely to support human and machine collaboration.
NVIDIA Omniverse™ Cloud is a platform-as-a-service providing developers a full-stack cloud environment to design, develop, deploy, and manage industrial digitalization applications.
Pegatron
Develop advanced, generative-AI-enabled virtual factory solutions to streamline communication between teams, simulate scenarios, and optimize operations.
Katana
Aid retailers and consumers by providing hyper-personalized and lifelike buying experiences.
Enable physical robots to learn complex skills through trial and error using reinforcement learning.
Use in conjunction with real-world data to train AI models for computer vision pipelines.
Accelerate autonomous vehicle development with simulation, providing safe, controlled environments for testing and validation.
Get in touch with an Omniverse specialist.
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