The revolution in artificial intelligence, from sophisticated language models to real-time image recognition, is fundamentally powered by a specialized class of semiconductors: AI chips. These aren’t merely faster general-purpose processors; they are meticulously engineered to accelerate the computationally intensive workloads inherent in machine learning (ML) and deep learning algorithms. Unlike traditional CPUs (Central Processing Units) optimized for sequential tasks, AI chips excel at parallel processing
