👉 Boulder computing refers to a distributed computing model where multiple, geographically dispersed computers work together as a single system to solve complex computational problems. This approach leverages the collective processing power, storage, and network resources of these diverse nodes, often spread across different locations or even continents. By breaking down large tasks into smaller, manageable parts and distributing them across the network, boulder computing enhances efficiency, scalability, and fault tolerance. It is particularly useful for tasks like simulations, data analysis, machine learning, and scientific research, where the computational demands exceed the capacity of a single machine. This model also enables cost-effective resource utilization, as organizations can access powerful computing resources on-demand without the need for significant upfront investment in hardware.
