As the field of artificial intelligence (AI) continues to grow, so does the need for powerful computing resources. Machine learning, a subset of AI, requires vast amounts of data processing and analysis, making it a computationally intensive task. This is where graphics processing units (GPUs) come in, playing a crucial role in powering machine learning algorithms.
GPUs were originally designed for rendering graphics in video games and other visual applications. However, their parallel processing capabilities make them well-suited for handling the massive amounts of data required for machine learning. GPUs can perform many calculations simultaneously, making them much faster than traditional central processing units (CPUs) for certain tasks.