Question

A research team is provisioning storage for an on-premises NVIDIA DGX SuperPOD used to train large foundation models across dozens of nodes. They need a solution that can sustain the very high aggregate read/write throughput required to keep the GPUs fed with training data and to write large multi-terabyte checkpoints quickly without stalling the compute cluster. Which storage architecture best fits this requirement?

Accepted Answer

A high-performance parallel file system (e.g., NFS over RDMA or a certified parallel/scale-out filesystem) tuned to deliver the required aggregate bandwidth to all nodes

Answer

A single local SATA SSD installed in one node and shared to the others over a standard 1 GbE management network

Answer

Consumer-grade network-attached storage (NAS) connected via a single 1 GbE uplink

Answer

A tape-based archive tier accessed directly during each training step