👉 Joint computing is a collaborative approach to processing large-scale computational tasks that leverages multiple interconnected computing resources, such as clusters, grids, or cloud services, to achieve higher performance and efficiency. By pooling these resources, tasks that would be too complex or time-consuming for a single system can be distributed and executed in parallel across the network. This collaborative effort allows for more efficient use of available hardware, reduces processing time, and enables the handling of complex data sets that exceed the capabilities of individual machines. Joint computing is widely used in scientific research, big data analytics, and high-performance computing applications where the computational demands are immense.
