NVIDIA AI Physics Accelerates Aerospace and Automotive Design by 500x
Industry leaders and software innovators are adopting the NVIDIA DoMINO NIM microservice to revolutionize computational engineering through AI-powered simulation and modeling.
Leading companies across aerospace, automotive, and energy sectors are transforming their design and simulation workflows with the NVIDIA DoMINO NIM microservice, part of the NVIDIA PhysicsNeMo AI physics framework. By uniting GPU-accelerated computing, intelligent modeling, and interactive digital twin technology, these enterprises are achieving performance gains of up to 500x over traditional engineering methods — dramatically speeding up innovation and reducing product development cycles.
Transforming Computational Engineering With NVIDIA PhysicsNeMo
At the heart of this transformation is NVIDIA PhysicsNeMo, an advanced AI physics framework that combines the power of neural operators with physics-based modeling. It enables engineers to simulate the behavior of complex physical systems — from automobiles and aircraft to industrial machinery — in near real time.
Traditionally, running high-fidelity simulations of such systems requires extensive computational resources and long iteration times. With PhysicsNeMo, simulations can be initialized and executed with unprecedented efficiency and precision, allowing teams to test, iterate, and optimize designs much faster.
By bridging the gap between physical modeling and AI, NVIDIA PhysicsNeMo empowers organizations to explore groundbreaking concepts at scales and levels of accuracy that were previously impractical. This shift not only accelerates time to market but also unlocks new opportunities for innovation across industries that rely heavily on simulation-driven engineering.
Synopsys Achieves 500x Leap in Engineering Performance
Synopsys, through its integration with Ansys, has demonstrated the transformative power of NVIDIA PhysicsNeMo in real-world engineering applications. By leveraging AI physics and GPU acceleration, Synopsys achieved up to 500x speedups in computational engineering workflows.
This performance leap results from the synergistic combination of GPU acceleration and AI-driven simulation accuracy. In traditional computational fluid dynamics (CFD), initializing fluid simulations requires numerous costly iterations to reach an accurate starting point. NVIDIA PhysicsNeMo eliminates much of this overhead by generating a high-fidelity initial state using pretrained AI models, which drastically reduces runtime.
When paired with Ansys Fluent — already capable of delivering up to 50x acceleration through NVIDIA GPU-powered solvers — the addition of PhysicsNeMo multiplies that speedup by another 10x, delivering breakthrough efficiency for fluid dynamics analysis. This innovation empowers engineers to perform high-accuracy simulations at a fraction of the time and cost, opening new frontiers for iterative design.
Real-Time Aerospace Design Takes Flight
Aerospace leaders are among the first to embrace these accelerated, AI-driven engineering workflows. Companies such as Northrop Grumman, Luminary Cloud, and Blue Origin are redefining how spacecraft and aircraft systems are designed, tested, and optimized using NVIDIA technologies.
Northrop Grumman, in collaboration with Luminary Cloud, leverages NVIDIA CUDA-X acceleration and AI physics modeling to optimize spacecraft thruster nozzle design. Using Luminary’s cloud-based, GPU-accelerated computational fluid dynamics (CFD) solver, engineers generated vast datasets to train a surrogate model built on NVIDIA PhysicsNeMo. This approach allowed Northrop to explore thousands of design variations rapidly and identify the most efficient and effective configurations.
Similarly, Blue Origin is utilizing PhysicsNeMo to enhance the design of next-generation space vehicles. By combining existing and augmented datasets, engineers can train AI models that simulate and evaluate design candidates far faster than with conventional physics solvers alone. Once promising designs are identified, they can be validated through CUDA-X-accelerated high-fidelity simulations. This workflow dramatically compresses the timeline from concept to validated design, driving faster progress toward new aerospace innovations.
Extending GPU Acceleration to Engineering Breakthroughs
These AI physics advancements build on NVIDIA’s long-standing leadership in computational engineering and GPU acceleration. The company’s partnerships with leading software providers continue to redefine the limits of what engineers can achieve in simulation and modeling.
Cadence, through its Cadence Fidelity CFD platform, is pushing the boundaries of real-time simulation in aerospace and energy industries using NVIDIA CUDA-X libraries. The company’s Millennium M2000 supercomputer, powered by NVIDIA GPUs, enables customers to generate large-scale AI training datasets and perform interactive design exploration. Engineers can visualize and refine models on the fly, improving system efficiency and speeding the path to deployment.
A major global energy solutions provider is also applying these technologies to accelerate multiphysics simulations. Using the Cadence Fidelity LES Solver and NVIDIA Grace Blackwell-accelerated platforms, the company can rapidly iterate turbine designs, achieving higher energy efficiency, improved emissions management, and enhanced reliability. These accelerated workflows enable complex system simulations that were once prohibitively time-consuming, ushering in a new era of performance-driven energy engineering.
A New Era of AI-Powered Design
The adoption of NVIDIA DoMINO NIM and PhysicsNeMo represents a major milestone in the evolution of computational engineering. By combining physics-informed AI models with GPU-accelerated simulation, enterprises can achieve exponential gains in speed and accuracy, enabling engineers to design, test, and optimize in real time.
From faster spacecraft and safer automobiles to cleaner energy systems, AI physics is reshaping how industries innovate. As more organizations integrate NVIDIA’s AI-powered simulation frameworks, the line between imagination and implementation continues to blur — accelerating humanity’s journey toward a smarter, more efficient future.
To see these innovations in action, watch the GTC Washington, D.C. keynote from NVIDIA founder and CEO Jensen Huang, and explore sessions showcasing the next generation of AI-driven engineering.
