👉 Colleagues computing is a distributed computing model where multiple computers, often referred to as nodes, work together to solve complex computational problems or process large datasets. Each node operates independently but communicates with others to share tasks, data, and results, effectively dividing the workload. This approach enhances scalability, fault tolerance, and efficiency by leveraging the combined computational power of many machines. Unlike centralized computing, where a single powerful machine handles all tasks, colleagues computing distributes the load, allowing for parallel processing and faster execution of resource-intensive computations. This model is particularly useful in fields requiring massive data processing, such as machine learning, scientific simulations, and big data analytics.
