Main know-how firms in aerospace and automotive are accelerating their engineering design processes with the NVIDIA DoMINO NIM microservice, a part of the NVIDIA PhysicsNeMo AI physics framework.
By integrating GPU-accelerated computing, NVIDIA PhysicsNeMo and interactive digital twin applied sciences, enterprises are accelerating their modeling and simulation workflows by as much as 500x over conventional strategies, rushing innovation and shortening growth cycles.
NVIDIA PhysicsNeMo empowers customers to speed up simulating bodily methods like cars, airplanes, heavy equipment and extra in close to actual time for quicker time to market.
Such simulation of advanced bodily methods unlocks unbelievable speedups and offers options suppliers the liberty to discover groundbreaking designs at beforehand inconceivable scales and accuracy.
Synopsys Achieves 500x Leap in Computational Engineering With NVIDIA AI Physics
Simulation software program suppliers like Ansys, a part of Synopsys, are utilizing NVIDIA PhysicsNeMo to attain as much as 500x speedups in computational engineering.
This huge speedup comes from multiplying the advantages of GPU acceleration by the efficiency and accuracy of AI physics.
The framework affords a brand new option to begin fluid simulations with a extremely correct preliminary state — sometimes a computationally costly job that requires quite a few iterations — and with low runtime price.
Fluid simulations may be as much as 50x quicker than conventional strategies when carried out with NVIDIA GPU-accelerated instruments like Ansys Fluent. Utilizing NVIDIA PhysicsNeMo pretrained fashions to initialize the simulation multiplies that GPU-powered 50x speedup by a further 10x because of the larger accuracy of the preliminary answer.
Unlocking Actual-Time Aerospace Design
Main aerospace know-how firms are utilizing NVIDIA GPU-accelerated workflows and PhysicsNeMo to hurry the design and optimization of superior plane and automotive methods.
Northrop Grumman and Luminary Cloud are utilizing accelerated compute and AI-driven physics to speed up spacecraft thruster nozzle design. With Luminary’s high-speed, NVIDIA CUDA-X-accelerated computational fluid dynamics solver, Northrop generated a big coaching dataset to construct a surrogate nozzle mannequin on Luminary’s cloud platform, which is powered by NVIDIA PhysicsNeMo. This dataset enabled Northrop’s engineers to quickly discover 1000’s of design choices and establish the optimum answer
Aerospace pioneer Blue Origin is utilizing NVIDIA PhysicsNeMo and superior AI modeling to design next-generation house automobiles. PhysicsNeMo allows Blue Origin to make use of current and augmented datasets to coach fashions that quickly discover potential design candidates, resulting in ones that may be then validated with high-fidelity, CUDA-X-accelerated solvers.
Constructing on Computational Engineering Breakthroughs GPU Acceleration
These newest AI physics breakthroughs additional NVIDIA’s work in computational engineering to advance simulation with GPU acceleration.
Cadence is pushing real-time simulation in aerospace by its Cadence Constancy computational fluid dynamics platform, utilizing NVIDIA CUDA-X libraries.
By tapping into GPU acceleration, Cadence allows main aerospace producers to rapidly construct large-scale AI coaching datasets utilizing its Millennium M2000 supercomputer. This lets engineers interactively discover and optimize designs, enhancing system effectivity and rushing time to market.
A worldwide chief in vitality options used Cadence Constancy LES Solver and NVIDIA Grace Blackwell-accelerated simulation platforms to quickly iterate designs and run high-fidelity multiphysics simulations. This considerably shortens design cycles and optimizes turbine efficiency, enabling better effectivity, emissions administration and reliability for next-generation vitality methods.
Watch the GTC Washington, D.C., keynote from NVIDIA founder and CEO Jensen Huang and discover periods.