NVIDIA has developed advanced AI-powered tools that help engineers design airplanes and cars much faster and more accurately than before. Their PhysicsNeMo framework and DoMINO NIM microservice allow technology companies to model and simulate how physical systems like car engines, airplane wings, and spacecraft parts work using the massive computational power of NVIDIA graphics processing units (GPUs).
Traditionally, creating these simulations could take a long time and require a lot of computing resources. With NVIDIA's AI-powered solutions, engineers can do these simulations up to 500 times faster than before. This helps companies try out more ideas in less time, which speeds up innovation and gets new vehicles and technologies to market more quickly.
Big companies like Synopsys, Ansys, and Cadence are already using these NVIDIA tools to accelerate their engineering workflows. For example, Ansys uses PhysicsNeMo to make fluid simulations fifty times faster when running on a GPU, and even faster when starting the simulation with an AI-optimized starting point. This helps engineers test how air and liquids move around physical objects like airplane wings or car bodies in much less time and with greater accuracy.
Aerospace innovators such as Northrop Grumman and Blue Origin also use NVIDIA technologies to quickly design and optimize complex components such as spacecraft thrusters and next-generation space vehicles. They can train AI models with large datasets and then run high-precision simulations, making it easier to explore thousands of design options and pick the best one.
By using GPU acceleration and AI physics, companies can build reliable high quality products more efficiently. These technologies are not only making a big difference in aerospace and automotive industries, but also in energy solutions. For example, global energy companies use NVIDIA accelerated simulation platforms to improve turbine design and performance, which can lead to better energy efficiency and lower emissions.
NVIDIA continues to push the limits of engineering simulation, making design and testing processes faster, more interactive, and more accurate for innovators everywhere.
Original article and image: https://blogs.nvidia.com/blog/ai-physics-aerospace-automotive-design-engineering/
