Hardware1d ago
Hardware
Tracing The Roots Of GPU Computing
Early CUDA developments shifted GPUs from simple graphics pipelines to general-purpose processors. This transition enabled the massive parallelization required for modern neural networks. Engineers now leverage these architectural legacies to optimize tensor operations. Understanding these hardware origins helps developers reduce latency and improve memory bandwidth in current LLM inference pipelines.