Early Nvidia architectures shifted from fixed-function pipelines to programmable shaders. This transition enabled the general-purpose computing now essential for training large models. While the discussion focuses on historical hardware evolution, it highlights why current AI depends on specific silicon designs. Practitioners should note how legacy constraints still influence modern GPU memory management.