# Autonomous Driving

NVIDIA and several Korean industry partners are pushing physical AI into production, spanning semiconductor engineering, autonomous driving and robot learning. In chip-scale thermal and mechanical analysis, Samsung Electronics combined AI-predicted effective material properties, coarser grids and GPU acceleration to cut one homogenization case from about 18 hours on a 32-core CPU fine-grid solve to 41 seconds on a GPU coarse-grid solve, roughly 1,600x faster; selected quantum chemical calculations on its sMOL platform ran up to 5x faster end to end.

NVIDIA and several Korean industry partners are pushing physical AI into production, spanning semiconductor engineering, autonomous driving and robot learning. In chip-scale thermal and mechanical analysis, Samsung Electronics combined AI-predicted effective material properties, coarser grids and GPU acceleration to cut one homogenization case from about 18 hours on a 32-core CPU fine-grid solve to 41 seconds on a GPU coarse-grid solve, roughly 1,600x faster; selected quantum chemical calculations on its sMOL platform ran up to 5x faster end to end.