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NVIDIA Omniverse
Real time collaboration and digital twin environments for visualisation, simulation and AI training
NVIDIA Omniverse is a cloud computing platform that enhances 3D visualisation and development workflows, providing a collaborative space accessible by multiple users. Omniverse obeys real-world physics, ensuring simulations are as accurate as possible, guaranteeing their integrity when transferred to the real world.
Omniverse enables the output from third-party visualisation applications to be used in a common USD (Universal Scene Description) format, making collaboration powerful, yet straight-forward. USD is more than a file format, it also includes powerful scene representation with an API that allows complex property inheritance, instancing, layering and a wide variety of other key features.
Flexible Working
Omniverse supports physical and cloud workstations, enabling your teams to work from anywhere in the world, giving employees the freedom to collaborate in real-time, from anywhere using their preferred 3D design tools.
Increased Productivity
Dispersed teams can work on a project simultaneously, without the need for costly time-consuming content reviews - enabling maximum iterations for shortened design cycles and superior final quality.
Scalable & Secure
Omniverse scales all the way from a single workstation to hosted datacentre solutions - keeping assets secure with infrastructure that removes the need to distribute sensitive files - either locally or around the world.
Enterprise Support
A global full-service enterprise support team, ensure projects stay on schedule, minimising system downtime and maximising system utilisation and user productivity.
Omniverse Use Cases
As well as the aforementioned process-related advantages, Omniverse is ideal for creating digital twins. These can range from simulating an automated warehouse, to modelling airflow in a datacentre yet to be built, or training AI-powered robots prior to them being deployed in the real world. Entire factories, cities or processes can be planned within Omniverse, enabling testing, and trial and error simulations, without real-world expense or consequences. Click the tabs below to explore Omniverse’s use cases further.
Robotic Learning & Simulation
Robots need to autonomously sense, plan and perform complex tasks in the real world. These include transporting and manipulating objects safely and efficiently in dynamic and unpredictable environments. To achieve this level of autonomy, a sim-first approach is required.
Robot simulation using Omniverse lets developers train, simulate and validate these advanced systems through virtual robot learning and testing. ROBOTIC APPLICATIONS such as NVIDIA Isaac suite and NVIDIA GR00T enables the training of AI-enabled ROBOTS so they can be safely deployed and scaled in environments such as logistics, manufacturing and healthcare.
Autonomous Vehicle Simulation
Developing autonomous vehicles requires vast amounts of training data that mirrors the real-world diversity they’ll face on the road. Sensor simulation addresses this challenge by rendering physically-based sensor data in virtual environments, including amplifying lighting, weather, geolocations and more.
With these capabilities, you can train, test and validate vehicles at scale without having to encounter rare and dangerous scenarios in the real world. This is achieved with the combination of Omniverse and APPLICATIONS such as NVIDIA DRIVE and Cosmos, a state-of-the-art framework creating generative world foundation models.
Industrial Facilities Design & Modelling
Physics-based industrial digital twins bridge the gap between physical and digital worlds. Virtual facilities, connected to physical assets via sensor data, serve as the proving ground for intelligent facilities, featuring AI-powered robots. Additionally, multiple AI agents may be deployed throughout a facility to help automate processes, assist operators and ensure worker safety.
These AI agents can also provide visibility and insights to analyse how multi-robot fleets and facility workers interact from a holistic viewpoint, versus focusing on the performance of singular pieces of equipment or processes. NVIDIA METROPOLIS and ROBOTIC APPLICATIONS deployed on Omniverse accelerate the creation and testing of industrial facilities.
Smart City Design & Modelling
The NVIDIA Omniverse Blueprint for smart cities provides the complete software stack needed to accelerate the development and testing of AI agents in the physically-accurate digital twins of cities. Developers create a simulation-ready digital twin of locations and facilities using aerial, satellite or map data with NVIDIA Cosmos. These are used to train and fine-tune AI models, such as computer vision models and VLMs, using APPLICATIONS such as NVIDIA METROPOLIS, TAO and NeMo to improve accuracy for vision AI use cases.
Complementary functions can also modelled too - NVIDIA Aerial allows for planning 4G / 5G coverage and routing for autonomous vehicles with NVIDIA DRIVE.
Synthetic Data Generation
Developing physical AI models requires carefully labelled, high-quality, diverse datasets to achieve the desired accuracy and performance. In many cases, data is limited, restricted, or unavailable. Collecting and labelling this real-world data is time-consuming, expensive, and hinders the development of physical AI models.
Synthetic data, generated from a computer simulation or generative AI models such as NVIDIA GR00T, or a combination of the two, can help address this challenge. Synthetic data can comprise text, videos, and 2D or 3D images across both visual and non-visual spectrums, which can be used in conjunction with real-world data to train multimodal physical AI models. This can save a significant amount of training time and greatly reduce costs.
NVIDIA Omniverse
NVIDIA Omniverse, used as a digital twin simulation platform - deployed either on RTX PRO SERVERS hardware or a GPU-accelerated CLOUD ARCHITECTURE - represents the middle stage in what is known as the ‘three computer solution’. This refers to the need for three stages of GPU-accelerated computing required to realise advanced physical AI systems. The first stage involves NVIDIA DGX systems to develop and train your initial AI models, prior to Omniverse simulation and fine-tuning. The last stage comprises NVIDIA Jetson GPUs embedded in ROBOTS or autonomous vehicles, inferencing the final model in the real world.
As a leading Unitree, DOBOT and NVIDIA Elite Partner, and the UK’s only NVIDIA DGX-certified Managed Services Partner, Scan ideally placed to be your trusted advisor on all your robotics and Omniverse needs. Our expertise spans edge AI, sensor integration, autonomous navigation, and real-time inference — is backed by a full ecosystem of hardware, software, simulation tools, and consultancy. We work closely with engineers, researchers, and innovators to deliver digital twin and simulation solutions that are technically robust, commercially viable, and ready for the environments they’ll operate in.
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Frequently Asked Questions FAQ
Here are some common questions and answers to help you find the information you need.
NVIDIA Omniverse is a cloud computing platform that enhances 3D visualisation and development workflows, providing a collaborative space accessible by multiple users. Omniverse follows real-world physics, ensuring simulations are as accurate as possible, guaranteeing their integrity when transferred to the real world.
NVIDIA Omniverse is used for robotic learning & simulation, autonomous vehicle simulation, industrial facilities design & modelling, smart city design & modelling, and synthetic data generation.
Physics-based industrial digital twins bridge the gap between physical and digital worlds. Virtual facilities, connected to physical assets via sensor data, serve as the proving ground for intelligent facilities, featuring AI-powered robots. Additionally, multiple AI agents may be deployed throughout a facility to help automate processes, assist operators, and ensure worker safety.
These AI agents can also provide visibility and insights to analyse how multi-robot fleets and facility workers interact from a holistic viewpoint, versus focusing on the performance of singular pieces of equipment or processes. NVIDIA Metropolis and robotic applications deployed on Omniverse accelerate the creation and testing of industrial facilities.
NVIDIA Omniverse is used for robotic learning & simulation, autonomous vehicle simulation, industrial facilities design & modelling, smart city design & modelling, and synthetic data generation.
NVIDIA Omniverse launched in May 2021.
NVIDIA Omniverse subscriptions can be purchased from Scan as part of an NVIDIA Enterprise license. Contact our sales team for further information.
Alternatively, why not try our Omniverse in Scan Cloud, paying a simple 'per GPU' subscription that provides access to and use of the full Omniverse Enterprise platform components and technologies. Visit our OMNIVERSE CLOUD website for further information.
NVIDIA Omniverse subscriptions can be purchased from Scan as part of an NVIDIA Enterprise license. Contact our sales team for further information.
Alternatively, why not try our Omniverse in Scan Cloud, paying a simple 'per GPU' subscription that provides access to and use of the full Omniverse Enterprise platform components and technologies. Visit our OMNIVERSE CLOUD website for further information.
Scan provides a simple 'per GPU' subscription that provides access to and use of the full Omniverse Enterprise platform components and technologies. Visit our OMNIVERSE CLOUD website for further information.
The recommended hardware platform for Omniverse is RTX PRO SERVER, which is available to purchase from Scan.
Alternatively, why not try our Omniverse in Scan Cloud, paying a simple 'per GPU' subscription that provides access to and use of the full Omniverse Enterprise platform components and technologies. Visit our OMNIVERSE CLOUD website for further information.