NVIDIA Announces Omniverse Real-Time Physics Digital Twins聽With Industry Software Leaders
NVIDIA announced an Omniverse Blueprint enabling software developers to create digital twins with real-time interactivity for computer-aided engineering (CAE). The blueprint combines NVIDIA acceleration libraries, physics-AI frameworks, and interactive rendering to achieve 1,200x faster simulations and real-time visualization.
Major software developers including Altair, Ansys, Cadence, and Siemens can implement this technology to help customers reduce development costs and accelerate time-to-market. A notable application includes computational fluid dynamics simulations, demonstrated through a virtual wind tunnel at SC24 that enables real-time interactive fluid dynamics visualization.
NVIDIA ha annunciato un Omniverse Blueprint che consente agli sviluppatori software di creare gemelli digitali con interattivit脿 in tempo reale per l'ingegneria assistita da computer (CAE). Il blueprint combina le librerie di accelerazione NVIDIA, i framework di fisica-AI e il rendering interattivo per ottenere simulazioni 1.200 volte pi霉 rapide e visualizzazione in tempo reale.
I principali sviluppatori software, tra cui Altair, Ansys, Cadence e Siemens, possono implementare questa tecnologia per aiutare i clienti a ridurre i costi di sviluppo e accelerare il time-to-market. Un'applicazione notevole include le simulazioni di dinamica dei fluidi computazionale, dimostrate attraverso un tunnel eolico virtuale a SC24 che consente la visualizzazione interattiva in tempo reale della dinamica dei fluidi.
NVIDIA anunci贸 un Omniverse Blueprint que permite a los desarrolladores de software crear gemelos digitales con interactividad en tiempo real para la ingenier铆a asistida por computadora (CAE). El blueprint combina las bibliotecas de aceleraci贸n de NVIDIA, los frameworks de f铆sica-AI y el renderizado interactivo para lograr simulaciones 1,200 veces m谩s r谩pidas y visualizaci贸n en tiempo real.
Los principales desarrolladores de software, incluidos Altair, Ansys, Cadence y Siemens, pueden implementar esta tecnolog铆a para ayudar a los clientes a reducir costos de desarrollo y acelerar el tiempo de comercializaci贸n. Una aplicaci贸n notable incluye simulaciones de din谩mica de fluidos computacional, demostradas a trav茅s de un t煤nel de viento virtual en SC24 que permite la visualizaci贸n interactiva en tiempo real de la din谩mica de fluidos.
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NVIDIA a annonc茅 un Omniverse Blueprint permettant aux d茅veloppeurs de logiciels de cr茅er des jumeaux num茅riques avec une interactivit茅 en temps r茅el pour l'ing茅nierie assist茅e par ordinateur (CAE). Ce blueprint combine les biblioth猫ques d'acc茅l茅ration NVIDIA, les frameworks de physique-AI et le rendu interactif pour obtenir des simulations 1 200 fois plus rapides et une visualisation en temps r茅el.
Des d茅veloppeurs de logiciels majeurs, tels que Altair, Ansys, Cadence et Siemens, peuvent mettre en 艙uvre cette technologie pour aider les clients 脿 r茅duire les co没ts de d茅veloppement et 脿 acc茅l茅rer le temps de mise sur le march茅. Une application notable comprend des simulations de dynamique des fluides computationnels, d茅montr茅es 脿 travers un tunnel 茅olien virtuel lors de la SC24, qui permet une visualisation interactive en temps r茅el de la dynamique des fluides.
NVIDIA hat ein Omniverse Blueprint angek眉ndigt, das es Softwareentwicklern erm枚glicht, digitale Zwillinge mit Echtzeit-Interaktivit盲t f眉r computergest眉tzte Ingenieurtechnik (CAE) zu erstellen. Das Blueprint kombiniert die NVIDIA-Beschleunigungsbibliotheken, physikbasierte AI-Frameworks und interaktive Animationen, um 1.200-mal schnellere Simulationen und Echtzeitvisualisierung zu erreichen.
Wichtige Softwareentwickler wie Altair, Ansys, Cadence und Siemens k枚nnen diese Technologie implementieren, um Kunden zu helfen, die Entwicklungskosten zu senken und die Markteinf眉hrungszeit zu verk眉rzen. Eine bemerkenswerte Anwendung sind Simulationen der Str枚mungsmechanik, die durch einen virtuellen Windkanal auf der SC24 demonstriert werden, der eine interaktive Fluiddynamik-Visualisierung in Echtzeit erm枚glicht.
- Blueprint technology achieves 1,200x faster simulations with real-time visualization
- Partnership with major industry leaders (Altair, Ansys, Cadence, Siemens)
- Ansys demonstration showed reduction in simulation time from one month to six hours using NVIDIA technology
- Multiple cloud platform availability (AWS, Google Cloud, Microsoft Azure, Oracle)
- None.
Insights
NVIDIA's Omniverse Blueprint marks a significant technological breakthrough in computer-aided engineering (CAE). The 1,200x acceleration in simulation speeds represents a paradigm shift for industries like aerospace and automotive, where design iterations traditionally take months. The partnership with major software leaders like Altair, Ansys and Siemens creates a robust ecosystem that could drive widespread adoption.
The demonstration with Ansys Fluent showcases remarkable efficiency gains - reducing a 2.5-billion-cell simulation from a month to just six hours. This dramatic improvement in computational efficiency could significantly reduce time-to-market and development costs for manufacturers. The real-time interactive capabilities, particularly in CFD simulations, could revolutionize how engineers approach design optimization.
The strategic value of this announcement lies in NVIDIA's ecosystem expansion and platform stickiness. By providing a comprehensive blueprint that integrates CUDA-X libraries, Modulus physics-AI framework and Omniverse APIs, NVIDIA is positioning itself as the foundational infrastructure for industrial digitalization. The multi-cloud availability through AWS, Google Cloud, Azure and Oracle, combined with DGX Cloud support, ensures maximum market reach.
The early adoption by Ansys and exploration by other major CAE players suggests strong industry buy-in. This could lead to significant software licensing and hardware revenue streams as companies invest in NVIDIA's technology stack to power their digital transformation initiatives.
Blueprint for Interactive Virtual Wind Tunnels Enables Unprecedented Computer-Aided Engineering Exploration for Altair, Ansys, Cadence,聽Siemens and More
ATLANTA, Nov. 18, 2024 (GLOBE NEWSWIRE) -- 厂颁24听--聽NVIDIA today announced an NVIDIA Omniverse鈩� Blueprint that enables industry software developers to help their computer-aided engineering (CAE) customers in aerospace, automotive, manufacturing, energy and other industries create digital twins with real-time interactivity.
Software developers such as Altair, , Cadence and Siemens can use the to help their customers drive down development costs and energy usage while getting to market faster. The blueprint is a reference workflow that includes NVIDIA acceleration libraries, physics-AI frameworks and interactive physically based rendering to achieve 1,200x faster simulations and real-time visualization.
鈥淲e built Omniverse so that everything can have a digital twin,鈥� said Jensen Huang, founder and CEO of NVIDIA. 鈥淥mniverse Blueprints are reference pipelines that connect NVIDIA Omniverse with AI technologies, enabling leading CAE software developers to build groundbreaking digital twin workflows that will transform industrial digitalization, from design and manufacturing to operations, for the world鈥檚 largest industries.鈥�
One of the first applications of the blueprint is computational fluid dynamics (CFD) simulations, a critical step to virtually explore, test and refine the designs of cars, airplanes, ships and many other products. Traditional engineering workflows 鈥� from physics simulation to visualization and design optimization 鈥� can take weeks or even months to complete.
In an industry first, NVIDIA and are demonstrating at SC24 a that allows users to simulate and visualize fluid dynamics at real-time, interactive speeds, even when changing the vehicle model inside the tunnel.
Unifying Three Pillars of NVIDIA Technology for Developers
Building a real-time physics digital twin requires two fundamental capabilities: real-time physics solver performance and real-time visualization of large-scale datasets.
The Omniverse Blueprint achieves these by bringing together libraries to accelerate the solvers, the physics-AI framework to train and deploy models to generate flow fields, and for 3D data interoperability and real-time RTX-enabled visualization.
Developers can integrate the blueprint as individual elements or in its entirety into their existing tools.
Ecosystem Uses NVIDIA Blueprint to Advance Simulations
is the first to adopt the Omniverse Blueprint, applying it to Ansys Fluent fluid simulation software to enable accelerated CFD simulation.
Ansys ran Fluent at the Texas Advanced Computing Center on 320 NVIDIA GH200 Grace Hopper Superchips. A 2.5-billion-cell automotive simulation was completed in just over six hours, which would have taken nearly a month running on 2,048 x86 CPU cores, significantly enhancing the feasibility of overnight high-fidelity CFD analyses and establishing a new industry benchmark.
鈥淏y integrating NVIDIA Omniverse Blueprint with Ansys software, we鈥檙e enabling our customers to tackle increasingly complex and detailed simulations more quickly and accurately,鈥� said Ajei Gopal, president and CEO of Ansys. 鈥淥ur collaboration is pushing the boundaries of engineering and design across multiple industries.鈥�
Luminary Cloud is also adopting the blueprint. The company鈥檚 new simulation AI model, built on , learned the relationships between airflow fields and car geometry based on training data generated from its GPU-accelerated CFD solver. The model runs simulations orders of magnitude faster than the solver itself, enabling real-time aerodynamic flow simulation that is visualized using Omniverse APIs.
Altair, Beyond Math, Cadence, Hexagon, , Siemens, SimScale and Trane Technologies are also exploring adoption of the Omniverse Blueprint into their own applications.
The Omniverse Blueprint can be run on all leading cloud platforms, including Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure. It is also available on .
, a cloud-based platform that helps organizations accelerate scientific and engineering breakthroughs, is using the NVIDIA Omniverse Blueprint to enable organizations to train and deploy custom AI models in just a few clicks.
The Rescale platform automates the full application-to-hardware stack and can be run across any cloud service provider. Organizations can generate training data using any simulation solver; prepare, train and deploy the AI models; run inference predictions; and visualize and optimize models.
Availability
Companies interested in learning more about the NVIDIA Omniverse Blueprint for real-time computer-aided engineering digital twins can .
About NVIDIA
(NASDAQ: NVDA) is the world leader in accelerated computing.
For further information, contact:
Kristin Uchiyama
NVIDIA Corporation
+1-408-313-0448
kuchiyama@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA鈥檚 products, services, and technologies, including NVIDIA Omniverse Blueprint, NVIDIA CUDA-X libraries, NVIDIA Modulus physics-AI framework, NVIDIA NIM microservice, NVIDIA GH200 Grace Hopper Superchip, and NVIDIA DGX Cloud; NVIDIA鈥檚 collaborations with third parties and the benefits and impact thereof; third parties using or adopting our products and technologies, the benefits and impact thereof, and the features and performance of their offerings; and Omniverse Blueprints enabling leading CAE software developers to build groundbreaking digital twin workflows that will transform industrial digitalization, from design and manufacturing to operations, for the world鈥檚 largest industries are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
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.
漏 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA-X, NVIDIA DGX, and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or 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.
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