NVIDIA introduces Apollo at SC25 conference, offering open models for industrial and computational engineering acceleration. AI physics models provide real-time capabilities for various industries like electronics, structural mechanics, weather, computational fluid dynamics, electromagnetics, and multiphysics. Industry leaders like Applied Materials, Cadence, LAM Research, KLA, Siemens, and more are utilizing NVIDIA AI physics for accelerated simulations and innovative solutions in their respective fields.

Applied Materials is enhancing semiconductor manufacturing efficiency with NVIDIA AI physics, achieving up to 35x acceleration in ACE+ multi-physics software modules. Cadence uses AI physics for real-time digital twin simulations of aircraft, while LAM Research accelerates plasma reactor simulations crucial for semiconductor manufacturing. KLA explores faster and more accurate simulations for new process control solutions. Northrop Grumman, Luminary Cloud, and PhysicsX also leverage NVIDIA AI physics for spacecraft thruster design, simulation acceleration, and product development cycles reduction.

Rescale integrates NVIDIA Apollo models for high-speed AI surrogates in engineering simulations, enabling vast design space exploration and real-time inference results. Siemens combines NVIDIA AI physics with fluid simulation tools for faster design exploration, while Synopsys achieves up to 500x speedups in computational engineering with NVIDIA AI physics. NVIDIA Apollo models will soon be available on build.nvidia.com, HuggingFace, and NVIDIA NIM microservices for enhanced AI physics applications.

Read more at NVIDIA.: NVIDIA Apollo Unveiled as Open Model Family for Scientific Simulation