👉 Farm computing refers to the use of a network of geographically dispersed, often small-scale, computing devices or farms to perform large-scale data processing and computation tasks. These farms typically consist of commodity hardware, such as servers or workstations, which are connected over a network to form a distributed computing environment. This setup allows for the parallel processing of data, making it highly efficient for tasks like big data analytics, machine learning, and scientific simulations. Farm computing is particularly advantageous for organizations that require significant computational power but may not have the resources to maintain a single, high-end data center. By leveraging the collective power of these farms, businesses can achieve cost-effective, scalable, and flexible computing solutions that can handle complex and data-intensive workloads.
