👉 Di computing, also known as distributed computing, is a computing paradigm where tasks are divided among multiple interconnected computers or nodes to solve complex problems more efficiently and effectively. These nodes, which can range from personal computers to large supercomputers, collaborate by sharing resources such as processing power, memory, and storage. This approach allows for parallel processing, enabling the simultaneous execution of multiple tasks, which significantly reduces computation time and enhances scalability. Di computing is widely used in various fields, including scientific research, big data analysis, cloud computing, and artificial intelligence, where it helps manage and process vast amounts of data that would be impractical or impossible to handle by a single machine. By leveraging the collective capabilities of multiple machines, di computing optimizes resource utilization and improves overall system performance.
