NVIDIA Announces Omniverse Cloud APIs to Power Wave of Industrial Digital Twin Software Tools
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Insights
Integration of NVIDIA Omniverse Cloud APIs into the software portfolios of major industrial players marks a significant advancement in digital twin technology. Digital twins are virtual replicas of physical systems, allowing for real-time monitoring, simulation and analysis. The adoption by companies like Siemens, Ansys and Microsoft not only validates the technology but also signals a broader industry shift towards immersive, interactive simulations and AI-enhanced operations.
The ability to create highly accurate and interactive models is a game-changer for industries such as manufacturing, automotive and construction. It enables cost savings by reducing the need for physical prototypes, shortens design cycles and enhances the decision-making process with predictive analytics. The collaboration between these tech giants is likely to accelerate innovation, leading to more sophisticated digital twin solutions that could become industry standards.
However, the widespread adoption of such technologies also raises questions about data privacy, security and the need for significant computational resources. As these APIs are integrated into various platforms, companies will have to ensure robust cybersecurity measures to protect sensitive data. Additionally, the computational demand may necessitate investment in high-performance hardware, potentially affecting smaller players who may lack the resources to keep up.
The announcement by NVIDIA about the adoption of its Omniverse Cloud APIs by leading industrial software makers could have a notable impact on NVIDIA's financial performance. The expansion into cloud-based API services opens up new revenue streams and strengthens NVIDIA's position in the enterprise software market. This move could attract further partnerships and increase the company's market share in the digital twin space.
For the partnering companies, integrating these APIs could lead to increased efficiency and potentially reduce costs over time, which may reflect positively in their financial statements. Investors should monitor the adoption rate and customer feedback, as these will be critical indicators of the technology's success and its financial implications. The potential for NVIDIA's technology to become a de facto standard in digital twin applications could lead to long-term growth, but it will depend on the continued innovation and competitive edge of NVIDIA's offerings.
It is also important to consider the capital expenditures associated with the adoption of these technologies. Companies may face upfront costs for integration and ongoing expenses for cloud services, which could affect short-term profitability but may be justified by long-term gains in operational efficiency and innovation leadership.
The widespread integration of NVIDIA Omniverse Cloud APIs poses legal and regulatory considerations for the companies involved. Compliance with data protection regulations, such as GDPR in Europe or CCPA in California, is essential when handling the vast amounts of data processed by digital twins. The cross-border nature of cloud services further complicates compliance, as data may be subject to multiple jurisdictions with varying laws.
Intellectual property rights will also be at the forefront, as the development of digital twins involves complex software and potentially proprietary data. Companies must navigate licensing agreements carefully to avoid disputes over technology usage rights. Furthermore, as digital twins increasingly influence decision-making in critical infrastructure, there could be heightened scrutiny from regulatory bodies to ensure the reliability and safety of these systems.
Lastly, the partnership between these tech giants and their use of advanced AI and rendering technologies could attract attention from antitrust regulators. The concentration of such capabilities within a few large entities may raise concerns about competitive fairness and market dominance.
Ansys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, Trimble Adopt Omniverse Technologies to Help Customers Design, Simulate, Build and Operate Physically Based Digital Twins
SAN JOSE, Calif., March 18, 2024 (GLOBE NEWSWIRE) -- NVIDIA today announced that NVIDIA Omniverse™ Cloud will be available as APIs, extending the reach of the world’s leading platform for creating industrial digital twin applications and workflows across the entire ecosystem of software makers.
The five new Omniverse Cloud application programming interfaces enable developers to easily integrate core Omniverse technologies directly into existing design and automation software applications for digital twins, or their simulation workflows for testing and validating autonomous machines like robots or self-driving vehicles.
Some of the world’s largest industrial software makers that are embracing Omniverse Cloud APIs into their software portfolios include: Ansys, Cadence, Dassault Systèmes for its 3DEXCITE brand, Hexagon, Microsoft, Rockwell Automation, Siemens and Trimble.
“Everything manufactured will have digital twins,” said Jensen Huang, founder and CEO of NVIDIA. “Omniverse is the operating system for building and operating physically realistic digital twins. Omniverse and generative AI are the foundational technologies to digitalize the
New Omniverse Cloud APIs
The five new Omniverse Cloud APIs, which can be used individually or collectively, include:
- USD Render — generates fully ray-traced NVIDIA RTX™ renders of OpenUSD data.
- USD Write — lets users modify and interact with OpenUSD data.
- USD Query — enables scene queries and interactive scenarios.
- USD Notify — tracks USD changes and provides updates.
- Omniverse Channel — connects users, tools and worlds to enable collaboration across scenes.
Bringing Interactive Visualization and Collaboration to Industrial Applications
Siemens, a leading technology company for automation, digitalization and sustainability, is adopting Omniverse Cloud APIs within its Siemens Xcelerator Platform, starting with Teamcenter X, the industry-leading cloud-based product lifecycle management (PLM) software.
In his GTC keynote, Huang showed Teamcenter X connected to Omniverse APIs, giving the software the ability to connect design data to NVIDIA generative AI APIs, and use Omniverse RTX rendering directly inside the app.
“Through the NVIDIA Omniverse API, Siemens empowers customers with generative AI to make their physics-based digital twins even more immersive,” said Roland Busch, president and CEO of Siemens AG. “This will help everybody to design, build and test next-generation products, manufacturing processes and factories virtually before they are built in the physical world. By combining the real and the digital worlds, Siemens digital twin technology is enabling companies around the world to become more competitive, resilient and sustainable.”
Ansys, a leader in engineering-simulation software, is adopting Omniverse Cloud APIs 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™.
Cadence, a leading computational software provider, is adopting Omniverse Cloud APIs into its Cadence® Reality Digital Twin Platform so enterprises can design, simulate and optimize data centers in a digital twin prior to physical build-out.
Dassault Systèmes, a leader in virtual universes for sustainable innovation, is adopting Omniverse Cloud APIs and Shutterstock 3D AI Services to power generative storytelling in its 3DEXCITE applications for content creation.
Other examples include:
- Construction and geospatial technology leader Trimble plans to leverage the APIs to enable the use of interactive NVIDIA Omniverse RTX viewers with Trimble model data.
- Hexagon, the global leader in reality technology, will integrate its reality capture sensors and digital reality platforms with the NVIDIA Omniverse Cloud APIs through USD interoperability, empowering customers with hyper-realistic simulation and visualization capabilities.
- Industrial-automation and digital transformation company Rockwell Automation will use Omniverse Cloud APIs to power RTX-enabled visualization.
In a demo released at GTC, Microsoft and NVIDIA reveal early work with Hexagon and Rockwell Automation that showcases these advancements.
Accelerating Autonomous Machine Development
As demand increases for robots, autonomous vehicles (AVs) and AI-based monitoring systems, developers are seeking to accelerate their end-to-end workflows.
Sensor data is critical for training, testing and validating full-stack autonomy, from perception to planning and control.
Omniverse Cloud APIs connect a rich developer ecosystem of simulation tools and applications — such as Foretellix’s Foretify™ Platform, CARLA, MathWorks — and industry-leading sensor solution providers like FORVIA HELLA, Luminar, SICK AG and Sony Semiconductor Solutions to enable full-stack training and testing with high-fidelity, physically based sensor simulation.
Available first on Microsoft Azure, Omniverse Cloud APIs will be offered later this year for developers to self-host on NVIDIA A10 GPUs or as managed services on NVIDIA OVX™.
“The next era of industrial digitalization has arrived,” said Andy Pratt, corporate vice president, Microsoft Emerging Technologies. “With NVIDIA Omniverse APIs on Microsoft Azure, organizations across industries and around the world can connect, collaborate and enhance their existing tools to create the next wave of AI-enabled digital twins.”
Transforming Industries With Omniverse Digital Twins
The new cloud APIs complement the broad adoption of Omniverse by a range of global leaders across industries, including:
- WPP, the world's largest marketing and communications services company, announced a further phase of its Omniverse Cloud-based generative AI content generation engine, bringing the AI-driven solution to the retail and consumer packaged goods sector.
- Media.Monks announced the adoption of Omniverse to build a generative AI and OpenUSD-enabled content creation pipeline to unlock scale and hyper-personalization across any customer journey.
- Continental, a major automotive supplier, is developing a digital twin platform to optimize its factory operations and accelerate its time-to-market.
To learn more about NVIDIA Omniverse, watch the GTC keynote. Register free to attend Omniverse sessions from NVIDIA and industry leaders at GTC, which runs through March 21.
About NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling industrial digitalization across markets. NVIDIA is now a full-stack computing infrastructure company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.
For further information, contact:
Kasia Johnston
NVIDIA Corporation
+1-415-813-8859
kasiaj@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, features, and availability of NVIDIA’s products and technologies, including Omniverse Cloud APIs including USD Render, USD Write, USD Query, USD Notify, and Omniverse Channel, NVIDIA A10 GPUs, and NVIDIA OVX; everything manufactured having digital twins; Omniverse being the operating system for building and operating physically realistic digital twins; Omniverse and generative AI being the foundational technologies to digitalize the
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Omniverse, NVIDIA OVX, and NVIDIA RTX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/226268a6-9045-4fbe-ae92-ddb73a95c5d1
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