👉 Ran computing, also known as remote or distributed computing, is a model where computational resources—such as processing power, memory, and storage—are accessed over a network from a central location, rather than being physically present in the user's local environment. This approach allows users to leverage powerful computing capabilities that might be beyond the reach of their individual devices, enabling tasks like large-scale data analysis, complex simulations, and high-performance computing. By distributing workloads across multiple machines, ran computing enhances efficiency, scalability, and cost-effectiveness, making it particularly useful for businesses and researchers who need significant computational resources without the need for expensive local infrastructure.
