The AI factory for industrial and physical AI in the cloud.
Overview
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.
Rapidly deploy application streaming on a fully managed platform, purpose-built for the era of industrial and physical AI.
Deploy 3D app streaming, industrial digital twin, and physical AI simulation applications in the cloud.
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.
Gain fast and easy access to NVIDIA DGX Cloud with L40 GPUs, offering NVIDIA RTX-powered rendering and sensor simulation.
Reduce setup time from weeks to days. Deploy and scale workflows faster with cloud-native orchestration and a streamlined developer experience.
Use Cases
See how developers across industries are building generative physical AI and industrial digitalization applications with Omniverse SDKs and APIs.
With NVIDIA Omniverse™ Cloud APIs for Autonomous Vehicle Simulation, sim developers can enhance their AV simulation workflows with high-fidelity sensor simulation, physics, and realistic behavior for training perception models and validating the AV software stack in closed-loop testing.
Develop and deploy OpenUSD and generative AI-enabled product configurator tools and experiences to nearly any device, and bring interactive experiences to automotive, retail, and media and entertainment.
Katana
With reinforcement learning in simulation, robots can train in any virtual environment through trial and error. This allows robots to develop sophisticated gross and fine motor skills needed for real-world automation tasks, such as grasping novel objects, quadrupedal walking, and learning complex manipulation skills.
Agility, Apptronik, Fourier Intelligence, Unitree
Developers can save a significant amount of training time and greatly reduce costs by using synthetic data in conjunction with real-world data to create carefully labeled datasets for training multi-modal physical AI models.
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
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.
Talk to an NVIDIA AI expert about your AI initiatives.
Access technical documentation about NVIDIA DGX Cloud.