Graphics processors could perform many calculations at once. CUDA gave developers a practical way to use that parallelism beyond drawing graphics.
Why it mattered: the computing foundation helped make larger learning experiments feasible. Hardware and the software used to program it became central parts of the AI story.
Date note: NVIDIA’s corporate history identifies 2006 as the unveiling year; this entry does not assert a precise day.