Nvidia introduced its Nvidia Omniverse Blueprint, a know-how that permits trade software program builders to construct digital twins with sensible real-time physics.
It permits computer-aided engineering (CAE) prospects in aerospace, automotive, manufacturing, vitality and different industries create digital twins with real-time interactivity. One instance of that’s the digital wind tunnel that automobile designers can use to simulate wind transferring over a simulated automobile.
Nvidia made the bulletins on the SC24 supercomputer occasion.
Software program builders resembling Altair, Ansys, Cadence and Siemens can use the reference workflow, which incorporates Nvidia acceleration libraries, physics-AI frameworks and interactive bodily primarily based rendering, to realize 1,200x sooner simulations and real-time visualization. This helps their prospects drive down improvement prices and vitality utilization whereas attending to market sooner.
“We constructed Omniverse in order that all the things can have a digital twin,” stated Jensen Huang, CEO of Nvidia, in an announcement. “Omniverse Blueprints are reference pipelines that join NVIDIA Omniverse with AI applied sciences, enabling main CAE software program builders to construct groundbreaking digital twin workflows that may remodel industrial digitalization, from design and manufacturing to operations, for the world’s largest industries.”
One of many first purposes of the blueprint is computational fluid dynamics (CFD) simulations, a crucial step to just about discover, check and refine the designs of automobiles, airplanes, ships and lots of different merchandise. Conventional engineering workflows — from physics simulation to visualization and design optimization — can take weeks and even months to finish.
In an trade first, Nvidia and Luminary Cloud are demonstrating at SC24 a digital wind tunnel that permits customers to simulate and visualize fluid dynamics at real-time, interactive speeds, even when altering the automobile mannequin contained in the tunnel.
Unifying three pillars of Nvidia dev tech
Constructing a real-time physics digital twin requires two elementary capabilities: actual time physics solver efficiency and real-time visualization of large-scale datasets.
The Omniverse Blueprint achieves these by bringing collectively Nvidia CUDA-X libraries to speed up the solvers, the Nvidia Modulus physics-AI framework to coach and deploy fashions to generate move fields, and Nvidia Omniverse utility programming interfaces for 3D knowledge interoperability and real-time RTX-enabled visualization.
Builders can combine the blueprint as particular person parts or in its entirety into their present instruments.
Ansys is the primary buyer to undertake the Omniverse Blueprint, making use of it to Ansys Fluent fluid simulation software program to allow accelerated computational fluid dynamics simulation.
Ansys ran Fluent on the Texas Superior Computing Middle on 320 Nvidia GH200 Grace Hopper superchips.
A 2.5-billion-cell automotive simulation was accomplished in simply over six hours. That will have taken practically a month operating on 2,048 x86 CPU cores, considerably enhancing the feasibility of in a single day high-fidelity CFD analyses and establishing a brand new trade benchmark.
“By integrating NVIDIA Omniverse Blueprint with Ansys software program, we’re enabling our prospects to sort out more and more complicated and detailed simulations extra shortly and precisely,” stated Ajei Gopal, CEO of Ansys, in an announcement. “Our collaboration is pushing the boundaries of engineering and design throughout a number of industries.”
Luminary Cloud can also be adopting the blueprint. The corporate’s new simulation AI mannequin, constructed on Nvidia Modulus, discovered the relationships between airflow fields and automobile geometry primarily based on coaching knowledge generated from its GPU-accelerated CFD solver.
The mannequin runs simulations orders of magnitude sooner than the solver itself, enabling real-time aerodynamic move simulation that’s visualized utilizing Omniverse APIs.
Altair, Past Math, Cadence, Hexagon, Neural Idea, Siemens, SimScale and Trane Applied sciences are additionally exploring adoption of the Omniverse Blueprint into their very own purposes.
The Omniverse Blueprint may be run on all main cloud platforms, together with Amazon Net Companies, Google Cloud and Microsoft Azure. Additionally it is accessible on Nvidia DGX Cloud.
Rescale, a cloud-based platform that helps organizations speed up scientific and engineering breakthroughs, is utilizing the Nvidia Omniverse Blueprint to allow organizations to coach and deploy customized AI fashions in only a few clicks.
The Rescale platform automates the complete application-to-hardware stack and may be run throughout any cloud service supplier. Organizations can generate coaching knowledge utilizing any simulation solver; put together, practice and deploy the AI fashions; run inference predictions; and visualize and optimize fashions.
Firms taken with studying extra in regards to the Nvidia Omniverse Blueprint for real-time computer-aided engineering digital twins can join early entry.
