GPU Computing

GPUs can execute many mathematical operations simultaneously, making them well suited to the matrix calculations used by modern machine-learning models. Cloud and on-premise GPU infrastructure is commonly used when standard CPUs would make training or high-volume inference too slow. Understanding it helps teams choose infrastructure that matches workload needs without creating unnecessary cost or operational complexity.