Distributed Computing involves multiple interconnected computers working together to process data and perform tasks more efficiently. By passing messages and coordinating actions across networked systems, it enables handling large-scale tasks, enhances fault tolerance, and improves scalability. This infrastructure is essential for AI applications requiring significant computational power, such as training large models or processing vast datasets.