👉 Parti computing, or distributed computing, is a method where computational tasks are divided among multiple computers to solve complex problems more efficiently than a single machine could handle alone. This approach leverages the combined resources of numerous interconnected computers, which can be located in different geographical locations, to process large datasets, run complex simulations, or perform intensive calculations. By distributing the workload, partly computing not only accelerates processing times but also enhances reliability and scalability, allowing tasks to be completed even if some machines fail or become overloaded. This collaborative computing model is widely used in various fields, including scientific research, big data analytics, and cloud computing.
