NVIDIA Omniverse on DGX Cloud
The AI factory for industrial and physical AI in the cloud.
Overview
Accelerate the Deployment of Industrial and AI Simulation Applications
NVIDIA Omniverse on DGX Cloud is a fully managed platform that enables the simple and scalable deployment of application streaming, unlocking industrial digitalization and physical AI simulations—directly from managed L40 GPU infrastructure. Built for industrial digitalization, the platform simplifies operations while accelerating time-to-value for 3D app streaming, industrial digital twins, and physical AI.
Technology
How It Works
Rapidly deploy application streaming on a fully managed platform, purpose-built for the era of industrial and physical AI.
Benefits
Simplify Deployment of Industrial and Physical AI Simulation in the Cloud
Deploy 3D app streaming, industrial digital twin, and physical AI simulation applications in the cloud.
Simple and Scalable Deployment
Stream OpenUSD applications and digital twins on any Chromium-based browser, with enterprise-grade reliability and low latency—without managing infrastructure or worrying about scale.
Instant Access
Gain fast and easy access to NVIDIA DGX Cloud with L40 GPUs, offering NVIDIA RTX-powered rendering and sensor simulation.
Accelerated Time to Value
Reduce setup time from weeks to days. Deploy and scale workflows faster with cloud-native orchestration and a streamlined developer experience.
Use Cases
How Developers Are Using NVIDIA Omniverse
See how developers across industries are building generative physical AI and industrial digitalization applications with Omniverse SDKs and APIs.
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Industrial Facility Digital Twins
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Synthetic Data Generation
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Robot
Simulation -
Autonomous Vehicle Simulation
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Robot
Learning
Industrial Facility Digital Twins
Leverage Omniverse SDKs and APIs to develop advanced virtual factory solutions and bring data interoperability, physically based visualization, generative AI, and real-time collaboration to your software.
Delta Electronics
Synthetic Data Generation
Developers can save a significant amount of training time and reduce costs by using synthetic data in conjunction with real-world data to create carefully labeled datasets for training multi-modal physical AI models. And now, with NVIDIA Cosmos™, developers can generate even larger data sets with 3D-to-real workflows.
Robot Simulation
Physical AI-powered robots and robot fleets need to autonomously sense, plan, and perform complex tasks in the physical world. These include transporting and manipulating objects safely and efficiently in dynamic and unpredictable environments.
Autonomous Vehicle Simulation
With NVIDIA Cosmos, conditioned on the physics of Omniverse, simulation developers can enhance their AV simulation workflows with high-fidelity, diverse sensor data, and realistic behavior for training perception models and validating the AV software stack.
Robot Learning
Preprogrammed robots struggle with unexpected changes, while AI-driven robots use simulation-based learning to adapt to dynamic environments. This lets them refine capabilities like navigation and manipulation, improving performance in a wide variety of scenarios.
Agility, Apptronik, Fourier Intelligence, Unitree
Starting Options
Ways to Get Started
Explore purpose-built resources to accelerate your work—whether you're developing OpenUSD applications, accessing high-performance AI infrastructure, prototyping with generative AI, or evaluating scalable simulation solutions.
Next Steps
Questions About NVIDIA DGX Cloud?
Talk to an NVIDIA AI expert about your AI initiatives.
Explore NVIDIA DGX Cloud Documentation
Access technical documentation about NVIDIA DGX Cloud.