A distributed system is designed to handle large volumes of data requests by spreading workloads across multiple servers or nodes. These systems can efficiently process vast amounts of data by enabling parallel processing, resulting in improved performance and reduced latency. Load balancing techniques ensure even distribution of traffic, enhancing overall system scalability and reliability. Organizations often utilize distributed systems for applications like big data analytics, cloud computing, and real-time data processing to meet growing demands.