A data center architect is procuring a single-node inference server to host multiple concurrent computer vision models. The workload is not multi-node, but each model requires low-latency access to a large local dataset that changes frequently throughout the day. The team wants the CPU to remain available for orchestration and light preprocessing without becoming a bottleneck for the many small, random read requests generated by the models. Which storage configuration best fits this single-node inference server?