The Architectural Arms Race: An In-Depth Analysis of Specialized GPU Hardware for AI Acceleration

The Imperative for Specialization: From General-Purpose GPUs to AI-Centric Accelerators The trajectory of modern artificial intelligence (AI) is inextricably linked to the evolution of the hardware that powers it. For Read More …

Architectural Divergence and Strategic Trade-offs: A Comparative Analysis of GPU and TPU for Deep Learning Training

Executive Summary The selection of hardware for training deep learning models has evolved into a critical strategic decision, with Graphics Processing Unit (GPU) and Tensor Processing Unit (TPU) representing two Read More …