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A machine learning platform stores multi-petabyte training datasets accessed concurrently by hundreds of GPUs. Administrators determine that the storage system must provide high aggregate throughput, parallel client access, and efficient scaling as additional storage nodes are added. Which storage solution is generally the most appropriate?
Correct Answer: C
Parallel file systems such as BeeGFS and Lustre are designed for high-performance computing and AI environments. They distribute metadata and data across multiple servers, enabling simultaneous high-bandwidth access by many clients. Single-server NFS implementations and local disks typically become bottlenecks as AI clusters grow in size and workload intensity.