GPU computing plays a vital role in machine learning by facilitating the parallel processing of large datasets, significantly speeding up training times for complex models. Unlike traditional CPUs, GPUs are designed to handle thousands of threads simultaneously, making them ideal for tasks that involve extensive mathematical computations such as matrix multiplications and deep learning algorithms. This capability enables data scientists to experiment with larger datasets and more complex models, ultimately leading to better performing AI systems. Consequently, GPU computing has become a cornerstone of modern artificial intelligence development.