IBM's Deep Blue marked a turning point in the intersection of artificial intelligence and human cognition. By combining massive parallel computation with sophisticated search algorithms, it became the first machine to defeat a reigning world chess champion under standard tournament conditions. This paper explores the architecture, algorithms, and evaluation strategies that enabled Deep Blue’s success and compares its hardware-driven design with the software-centric approach of modern engines like Stockfish.