Accelerating CAE Simulations with AI: An End-to-End Reference Workflow

Engineers are using physics-based AI models to reduce simulation time in computer-aided engineering (CAE). These models, trained on data from traditional simulations, can predict outcomes in seconds or minutes, allowing for quicker exploration of design alternatives. The approach complements traditional solvers and is presented as an end-to-end reference workflow for automotive aerodynamics using NVIDIA technologies.