NVIDIA Omniverse Blueprint
In collaboration with industry software leaders, NVIDIA has announced Omniverse Real-Time Physics Digital Twins. This blueprint for interactive virtual wind tunnels allows for previously unheard-of computer-aided engineering exploration for Altair, Ansys, Cadence, Siemens, and other companies.
SC24- With the help of the NVIDIA Omniverse Blueprint, which was unveiled today, industry software developers can assist their computer-aided engineering (CAE) clients in the manufacturing, energy, automotive, aerospace, and other sectors in creating digital twins that are interactive in real time.
The NVIDIA Omniverse Blueprint for real-time computer-aided engineering digital twins may be used by software developers like Altair, Ansys, Cadence, and Siemens to assist their clients reduce development costs and energy consumption while accelerating time to market. In order to accomplish 1,200x quicker simulations and real-time visualization, the blueprint is a standard approach that incorporates physics-AI frameworks, NVIDIA acceleration libraries, and interactive physically based rendering.
Omniverse was created to enable the creation of digital twins for everything. Computational fluid dynamics (CFD) simulations, a crucial initial step in digitally exploring, testing, and improving the designs of automobiles, aircraft, ships, and numerous other goods, are among the earliest uses of the blueprint. It might take weeks or even months to finish traditional engineering operations, which include physics simulation, visualization, and design optimization.
A virtual wind tunnel that enables users to simulate and visualize fluid dynamics at real-time, interactive speeds even while altering the vehicle model within the tunnel is being demonstrated by NVIDIA and Luminary Cloud at SC24, marking an industry first.
Unifying Three Pillars of NVIDIA Technology for Developers
Real-time physics solver performance and real-time visualization of large-scale information are two essential skills needed to build a real-time physics digital twin.
In order to accomplish these, the Omniverse Blueprint combines the NVIDIA CUDA-X libraries to speed up the solvers, the NVIDIA Modulus physics-AI framework to train and implement models to create flow fields, and the NVIDIA Omniverse application programming interfaces for real-time RTX-enabled visualization and 3D data interoperability.
The blueprint can be fully or partially integrated into the developers’ current tools.
Ecosystem Uses NVIDIA Blueprint to Advance Simulations
In order to facilitate rapid CFD simulation, Ansys was the first to use the NVIDIA Omniverse Blueprint in their Ansys Fluent fluid simulation program.
At the Texas Advanced Computing Center, Ansys used 320 NVIDIA GH200 Grace Hopper Superchips to run Fluent. After little over six hours, a 2.5-billion-cell car simulation that would have taken over a month to execute on 2,048 x86 CPU cores was finished. This greatly increased the viability of overnight high-fidelity CFD assessments and set a new industry standard.
The clients are able to handle more intricate and sophisticated simulations more rapidly and precisely because to the integration of NVIDIA Omniverse Blueprint with Ansys software. “To the partnership is advancing engineering and design standards in a variety of industries.”
The model is also being used by Luminary Cloud. Using training data from its GPU accelerated CFD solver, the company’s new simulation AI model which is based on NVIDIA Modulus learned the connections between airflow fields and vehicle shape. Through the use of Omniverse APIs, real-time aerodynamic flow simulation is made possible by the model, which does simulations orders of magnitude quicker than the solver itself.
Siemens, SimScale, Altair, Beyond Math, Cadence, Hexagon, Neural Concept, and Trane Technologies are also investigating the possibility of incorporating the Omniverse Blueprint into their own systems.
All of the top cloud computing systems, such as Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure, are compatible with the Omniverse Blueprint. NVIDIA DGX Cloud offers it as well.
The NVIDIA Omniverse Blueprint is being used by Rescale, a cloud-based platform that helps businesses speed up scientific and engineering discoveries, to make it possible for businesses to train and implement unique AI models with a few clicks.
The Rescale platform may be used with any cloud service provider and automates the whole application-to-hardware stack. Businesses may use any simulation solver to create training data, construct, train, and implement AI models, run inference predictions, and display and optimize models.
NVIDIA Omniverse Blueprint Availability
Businesses may register for early access to the NVIDIA Omniverse Blueprint for real-time digital twins in computer-aided engineering.
