Main know-how corporations 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, dashing innovation and shortening improvement cycles.
NVIDIA PhysicsNeMo empowers customers to speed up simulating bodily techniques like cars, airplanes, heavy equipment and extra in close to actual time for sooner time to market.
Such simulation of complicated bodily techniques unlocks unbelievable speedups and provides 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 realize 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 presents a brand new strategy to begin fluid simulations with a extremely correct preliminary state — sometimes a computationally costly activity that requires quite a few iterations — and with low runtime price.
Fluid simulations could be as much as 50x sooner 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 an extra 10x because of the larger accuracy of the preliminary resolution.
Unlocking Actual-Time Aerospace Design
Main aerospace know-how corporations are utilizing NVIDIA GPU-accelerated workflows and PhysicsNeMo to hurry the design and optimization of superior plane and automotive techniques.
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 hundreds of design choices and establish the optimum resolution
Aerospace pioneer Blue Origin is utilizing NVIDIA PhysicsNeMo and superior AI modeling to design next-generation area autos. PhysicsNeMo permits Blue Origin to make use of present 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 AccelerationÂ
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 means of its Cadence Constancy computational fluid dynamics platform, utilizing NVIDIA CUDA-X libraries.
By tapping into GPU acceleration, Cadence permits main aerospace producers to shortly construct large-scale AI coaching datasets utilizing its Millennium M2000 supercomputer. This lets engineers interactively discover and optimize designs, enhancing system effectivity and dashing 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 techniques.
Watch the GTC Washington, D.C., keynote from NVIDIA founder and CEO Jensen Huang and discover classes.
