👉 Div computing, or distributed computing, is a method of processing large computational tasks by dividing them into smaller subtasks that can be executed concurrently across multiple computing resources, such as computers or servers. This approach leverages the collective power of a network of machines to solve complex problems more efficiently and effectively than a single machine could handle alone. By distributing the workload, div computing can significantly reduce processing time, enhance scalability, and improve fault tolerance. It's particularly useful in fields like scientific research, big data analytics, and machine learning, where tasks often require immense computational resources.
