👉 Groups computing, also known as distributed computing or cluster computing, refers to the coordinated use of multiple interconnected computers or nodes to perform computational tasks that would be too complex or time-consuming for a single machine. These groups, often referred to as clusters, can be geographically dispersed and consist of various types of machines, including general-purpose computers, specialized hardware like GPUs or FPGAs, and even cloud instances. By sharing resources such as processing power, memory, and storage, groups computing enables parallel processing, significantly speeding up computations and allowing for the handling of large-scale data sets, complex simulations, and resource-intensive tasks like machine learning model training or scientific research. This approach not only optimizes resource utilization but also enhances fault tolerance, as the failure of one node does not necessarily halt the entire computation.
