One month after the GTC conference, Nvidia’s Omniverse Cloud API is rapidly landing

At this year’s GTC conference, NVIDIA announced that it has used technologies such as generative functional AI to build an industry-leading metaverse, industrial digital twin, and robot training software system.

Based on NVIDIA's real-time simulation and collaboration platform Omniverse. With the launch of the Omniverse Cloud API, tools that simulate real-world environments have expanded their reach and are now used by many companies to create industrial digital twin applications and workflows.

In March, a total of five new Omniverse Cloud APIs were introduced, allowing developers to easily integrate core Omniverse technology directly into digital twins. There are software applications for design and automation, or simulation workflows for testing and validating autonomous machines such as robots or self-driving vehicles.

These Omniverse Cloud APIs can be used individually or together, qiz includes:

• USD Rendering - Fully ray traced NVIDIA RTX rendering for generating OpenUSD data;
• USD writing - allows users to modify OpenUSD data and interact with it;
• USD query - implement scene query and scene interaction;
• USD notification - track USD changes and provide updates;
• Omniverse Channel — Connect users, tools and the world to achieve cross-scenario collaboration.

Meanwhile, some of the world’s largest industrial software manufacturers are incorporating Omniverse Cloud API into their software portfolios, including: Ansys, Cadence, Dassault, Hexagon, Microsoft, Rockwell, Siemens and Trimble.

“In the future, all products manufactured will have digital twins.” Nvidia founder and CEO Jensen Huang said. "Omniverse is an operating system for building and operating physically true digital twins. Omniverse and generative AI are foundational technologies for digitizing the $50 billion heavy industry market."

Last week, NVIDIA spoke at a media event Introduced the latest progress of Omniverse Cloud API.

In Nvidia’s view, similar to the large language model and human feedback technology that people are currently talking about, the physical world simulation in the digital twin era also requires physical feedback to ensure that the robot can drive correctly in the real world. And Omniverse, which achieves high precision through RTX, is the best proving ground for this kind of simulation.

"The world is facing huge changes, such as unstable supply chains, power shortages, changes in economic situations, etc. More and more industrial industries hope to achieve full software-defined automation," NVIDIA China Advanced Technology Market Manager Shi Chengqiu said. "Many companies are building digital twins to improve operational efficiency and save costs by simulating world operations. Once an industrial-grade digital twin is built, it will be of great significance to robotic systems, artificial intelligence training venues, etc."

NVIDIA’s service suite includes APIs to help developers bring full platform capabilities. Omniverse-powered applications fundamentally change complex 3D workflows, enabling everyone from individuals to multinational enterprises to build unified physical workflows.

NVIDIA introduced a series of vendors that have adopted Cloud API:

At Siemens, starting with the cloud-based product lifecycle management (PLM) software Teamcenter X, its Xcelerator platform has adopted Omniverse Cloud API.

Through the NVIDIA Omniverse API, Siemens provides customers with generative AI capabilities that make their physics-based digital twins more immersive. Siemens expects this to help its customers design, build and test next-generation products, manufacturing processes and factories virtually before they are built in the real world.

Engineering simulation software provider Ansys is adopting the Omniverse Cloud API to enable data interoperability and RTX visualization in solutions such as Ansys AVxcelerate for autonomous vehicles, Ansys Perceive EM for 6G simulation, and NVIDIA accelerated solvers such as Ansys Fluent.

Compute software provider Cadence is implementing the Omniverse Cloud API into the Cadence Reality Digital Twin Platform so that enterprises can design, simulate and optimize data centers in a digital twin before physical buildout.

Omniverse updates also lead to the development of autonomous machines such as self-driving cars and robots.

Sensor data is critical for training, testing and validating full-stack autonomy from perception to planning and control. Omniverse Cloud API connects a rich ecosystem of simulation tools and application development (such as Foretellix's Foretify platform, CARLA, MathWorks, etc.) and industry-leading sensor solution providers (such as FORVIA HELLA, Luminar, SICK AG and Sony Semiconductor Solutions), to enable full-stack training and testing using high-fidelity, physics-based sensor simulations.

The Omniverse Cloud API is planned to be available first on Microsoft Azure and will be available to developers later this year for use on NVIDIA-accelerated systems both self-hosted and in the cloud.

Nvidia said that over the past five years, the company has been working on building advanced graphics systems based on accurate physical rendering.

The latest update puts Omniverse in the cloud, allowing developers to directly integrate the latest technologies in graphics and AI into their existing workflows.

For enterprises, this method eliminates the need to worry about redevelopment. After the emergence of Cloud API, we can quickly adapt to the new way of working based on Omniverse without making major changes.

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