NVIDIA has unveiled a new Omniverse Blueprint aimed at assisting industry software developers in creating digital twins with real-time interactivity. This development is set to benefit sectors such as aerospace, automotive, manufacturing, and energy by providing tools that could help reduce development costs and energy usage while accelerating market entry.
The blueprint integrates NVIDIA acceleration libraries, physics-AI frameworks, and interactive rendering to enable simulations up to 1,200 times faster than traditional methods. "We built Omniverse so that everything can have a digital twin," stated Jensen Huang, founder and CEO of NVIDIA. He emphasized the potential for these blueprints to transform industrial processes across various stages from design to operations.
A key application of this technology is in computational fluid dynamics (CFD) simulations. At SC24, NVIDIA and Luminary Cloud demonstrated a virtual wind tunnel capable of simulating fluid dynamics at real-time speeds, even when altering vehicle models within the tunnel.
The blueprint combines three pillars of NVIDIA technology: CUDA-X libraries for solver acceleration, the Modulus physics-AI framework for model training and deployment, and Omniverse APIs for data interoperability and visualization. Developers can integrate these components into their existing tools individually or as a complete package.
Ansys is among the first adopters of the Omniverse Blueprint. The company used it to enhance its Fluent fluid simulation software's performance significantly. "By integrating NVIDIA Omniverse Blueprint with Ansys software, we’re enabling our customers to tackle increasingly complex and detailed simulations more quickly and accurately," said Ajei Gopal, president and CEO of Ansys.
Luminary Cloud has also embraced the blueprint with its new AI model built on NVIDIA Modulus. This model performs aerodynamic flow simulations much faster than conventional solvers by leveraging GPU-accelerated CFD data.
Other companies like Altair, Cadence, Siemens, SimScale, Trane Technologies are exploring incorporating this technology into their applications. The blueprint supports all major cloud platforms including AWS, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure as well as being available on NVIDIA DGX Cloud.
Rescale is using the Omniverse Blueprint to streamline AI model training and deployment across any cloud service provider through automation of the application-to-hardware stack process.
Organizations interested in learning more about this innovation can sign up for early access to explore its capabilities further.
