distributed models

Distributed models are systems where a task or computation is split across multiple computers or servers working together. Instead of relying on a single machine, the workload is divided so each unit processes a part of the data independently. This approach allows for handling larger datasets, increasing speed, and improving reliability since if one part fails, others can continue. Think of it like a team of specialists collaborating on a project, each contributing their expertise to achieve a common goal more efficiently than working alone.