Accelerating Artificial Intelligence: The Role of GPUs in Deep Learning and Computational Advancements

Abstract

The advancement of Artificial Intelligence (AI) has been largely driven by improvements in hardware, particularly Graphical Processing Units (GPUs). Originally intended for graphics rendering, GPUs have become essential for AI due to their capacity for massive parallel computations. This paper explores the architectural evolution of GPUs, their applications in AI, and their impact on deep learning, natural language processing, and real-time AI systems. Additionally, challenges such as power consumption, scalability, and cost are examined, alongside emerging solutions including AI-specific accelerators, edge computing, and quantum hardware. By analyzing the interplay between GPUs and AI, this study aims to highlight the transformative role of GPUs in modern computing and future AI developments.