A parallel file system is a specialized storage system designed to deliver extremely high performance for applications that need to access large amounts of data concurrently from multiple computing nodes. Unlike traditional file systems that route all data through a single server, a parallel file system distributes data across numerous storage servers and disks, allowing multiple clients to read from and write to the same file simultaneously and in parallel. This architecture eliminates bottlenecks and significantly boosts I/O throughput, making it ideal for high-performance computing (HPC) environments, big data analytics, artificial intelligence, and machine learning workloads where rapid and shared access to massive datasets is critical.