NVIDIA and Industry Leaders Unveil Groundbreaking Real-Time Digital Twin Technology

In a monumental announcement at SC24, NVIDIA has unveiled its Omniverse Blueprint, a real-time physics digital twin framework designed to redefine engineering workflows in aerospace, automotive, manufacturing, and energy industries. This cutting-edge technology enables developers to create interactive, high-fidelity digital twins, promising unprecedented speed, accuracy, and efficiency in product design and simulation.

The NVIDIA Omniverse Blueprint for real-time computer-aided engineering digital twins enables industry software developers to help their CAE customers create digital twins with real-time interactivity. (Source Nvidia)

By integrating NVIDIA’s advanced acceleration libraries and AI-driven physics frameworks, the Omniverse Blueprint offers software developers like Altair, Ansys, Cadence, and Siemens the tools to significantly reduce costs, energy consumption, and time-to-market. The reference workflow combines simulation, physics-based modeling, and real-time visualization, offering a staggering 1,200x improvement in simulation speeds compared to traditional methods.

“We built Omniverse so that everything can have a digital twin,” said NVIDIA CEO Jensen Huang. “Omniverse Blueprints connect NVIDIA Omniverse with AI technologies, empowering developers to create transformative workflows that will industrialize the world’s largest industries—from design and manufacturing to operations.”

Revolutionizing Computational Fluid Dynamics

One of the most transformative applications of the Omniverse Blueprint lies in computational fluid dynamics (CFD), an essential tool for designing high-performance vehicles, aircraft, and industrial machinery. At SC24, NVIDIA and Luminary Cloud demonstrated a virtual wind tunnel, an industry-first that enables real-time aerodynamic simulations. Engineers can now modify vehicle designs and immediately visualize their impact on airflow, a groundbreaking capability.

“Traditional CFD workflows take weeks or even months to deliver results,” explained Tim Costa, NVIDIA’s senior director of CAE and HPC. “With the Omniverse Blueprint, engineers can achieve real-time interactivity, accelerating the pace of innovation.”

Luminary Cloud’s integration of NVIDIA Modulus, a physics-AI framework, enables the creation of surrogate CFD models that simulate fluid dynamics at speeds previously unattainable. The result is a seamless workflow where AI and simulation work hand-in-hand to transform how engineers optimize designs.

“Luminary’s ability to generate vast amounts of high-fidelity simulation data in minutes is the key enabler for physics AI models ready to revolutionize simulation-based design,” said Juan J. Alonso, CTO and co-founder of Luminary Cloud.

Breaking Barriers in Semiconductor Design

The Omniverse Blueprint is also driving innovations in semiconductor design. NVIDIA and Ansys have integrated the NVIDIA Modulus AI framework into Ansys’ suite of semiconductor simulation tools, accelerating tasks such as thermal analysis and power optimization. Using AI to analyze existing designs and predict optimal configurations, engineers can now explore broader design spaces and refine solutions at speeds up to 100x faster.

“By embedding NVIDIA Modulus into our semiconductor solutions, we’re delivering unprecedented speed and efficiency for our customers,” said Ajei Gopal, CEO of Ansys. “This collaboration is pushing the boundaries of what’s possible in chip design.”

Ansys’ use of NVIDIA’s GH200 Grace Hopper Superchips has already set new benchmarks. At the Texas Advanced Computing Center, Ansys Fluent completed a 2.5-billion-cell simulation in just six hours—an achievement that would have taken nearly a month on traditional CPU clusters.

Real-Time Engineering: The Three Pillars

The Omniverse Blueprint is built on three core pillars that underpin its revolutionary capabilities:

1. NVIDIA CUDA-X Libraries: These provide the acceleration required for solvers, enabling the rapid computation of complex physical models.
2. NVIDIA Modulus Physics-AI Framework: A platform for training and deploying physics-informed AI models, Modulus combines domain knowledge with simulation data for unparalleled accuracy.
3. RTX-Enabled Visualization APIs: Real-time rendering and interoperability with 3D datasets ensure that engineers can visualize their designs with photorealistic detail.

These elements can be adopted individually or as an integrated workflow, offering flexibility for developers across industries.

Cloud-Native Flexibility and Ecosystem Adoption

The Omniverse Blueprint is designed to be cloud-native, ensuring compatibility with leading platforms such as Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud. Companies like Rescale are leveraging this flexibility to simplify AI model training and deployment. Rescale’s platform enables users to generate simulation data, train AI models, and visualize results—all within a unified environment.

This broad accessibility has attracted an array of industry leaders. In addition to Ansys and Luminary Cloud, companies like Altair, Cadence, Hexagon, Neural Concept, Siemens, and Trane Technologies are exploring the integration of the Omniverse Blueprint into their tools. This widespread adoption underscores the blueprint’s potential to become the backbone of next-generation engineering workflows.

Transformative Impact Across Industries

From designing electric vehicles to optimizing semiconductor chips, the Omniverse Blueprint’s applications span a wide range of industries:

• Aerospace: Engineers can simulate airflow and structural stresses on aircraft in real-time, enhancing safety and efficiency.
• Automotive: Real-time simulations accelerate the development of fuel-efficient vehicles with optimized aerodynamics.
• Energy: Power plants and renewable energy systems can use digital twins to improve performance and reduce environmental impact.
• Manufacturing: Factories can simulate production lines to optimize processes, reduce waste, and improve throughput.

Looking Ahead

NVIDIA’s Omniverse Blueprint represents a significant step forward in the evolution of digital twins and AI-powered engineering. By combining speed, accuracy, and scalability, the framework enables organizations to push the boundaries of what’s possible in design and simulation. With early access now available, the industry eagerly awaits the full deployment of this groundbreaking technology.

For more information, visit NVIDIA’s digital twin platform.

Tags: accelerated engineering workflows, cloud-native simulation, computational fluid dynamics, NVIDIA Omniverse Blueprint, physics-AI framework, real-time digital twins

Category: Nvidia

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