👉 Spread Computing is a distributed computing model that leverages the collective power of many individual devices, such as smartphones, laptops, or IoT sensors, to perform complex computations. Instead of relying on a single powerful server, Spread Computing distributes tasks across a network of these devices, enabling parallel processing and significantly enhancing computational capacity. This approach not only reduces the load on any single device but also improves efficiency and scalability, as tasks can be dynamically allocated based on the available resources. By harnessing the collective potential of a wide array of connected devices, Spread Computing facilitates real-time data processing and analysis, making it particularly useful for applications requiring high computational power or continuous data streams, like machine learning, big data analytics, and IoT-based services.
