Modern AI training (especially with LLMs) requires extremely high-speed, parallel access to large datasets. Adedicated storage fabricseparates data I/O traffic from the training compute path and avoids contention.

FromNVIDIA DGX Infrastructure Reference Architectures:

"Dedicated storage networks eliminate I/O bottlenecks by providing low-latency, high-bandwidth access to distributed storage for large-scale training jobs."

"Parallel access to datasets is key for performance, especially in multi-node, multi-GPU AI clusters."

Security (B)is important, but not the core reason for a storage fabric.

Cost (D)is typicallyincreased, not reduced, with dedicated fabrics.