Collection: NVMe Storage

14 GB/s. That's What Your Training Pipeline Has Been Waiting For.

PCIe Gen5 NVMe storage has changed the calculus of AI infrastructure design. When a single drive can deliver sequential read throughput that would have required an entire storage array five years ago, the question is no longer whether local NVMe storage is fast enough for AI workloads — it's whether your server platform can keep up with the drive.

DVUN's NVMe storage collection is built around this new reality. We stock enterprise-grade NVMe drives across PCIe Gen4 and Gen5 generations, in capacities from 1.92TB to 30.72TB, selected specifically for the access patterns that AI workloads generate: large sequential reads for dataset loading, sustained sequential writes for checkpoint saving, and mixed random I/O for feature store and model weight serving. Every drive in our catalog is rated for enterprise endurance — not consumer or prosumer workloads — because AI training jobs run drives hard, and they run them continuously.

Why NVMe Is the Right Storage Layer for AI

• Sequential Read Throughput: Up to 14GB/s per drive on Gen5 platforms — fast enough to keep a multi-GPU training job fed without a dedicated storage node.
• Low Queue Depth Latency: Sub-100µs latency at QD1 for responsive model weight loading and feature store access in inference serving environments.
• Enterprise Endurance Ratings: 1 DWPD to 3 DWPD endurance ratings for drives that will handle continuous AI training workloads without premature wear.
• Power Loss Protection: Capacitor-backed power loss protection ensures data integrity during unexpected power events — critical for long training runs where checkpoint integrity matters.
• Thermal Throttle Resistance: Enterprise drives with validated thermal profiles that maintain rated performance under sustained load, not just burst conditions.
• U.2, U.3, and M.2 Form Factors: Full range of physical form factors to match your server's drive bay configuration.

How AI Teams Use NVMe Storage

Dataset Staging: Copy your training dataset from shared network storage to local NVMe before the training job starts. Local NVMe eliminates network storage as a bottleneck during training, and at 14GB/s, even a 10TB dataset stages in under 15 minutes. Pair with our AI Storage Nodes for the shared storage tier that feeds your local NVMe staging drives.

Checkpoint Caching: Write training checkpoints to local NVMe for speed, then asynchronously replicate to shared storage for durability. This approach eliminates checkpoint write latency from your training loop without sacrificing data protection. See our Memory Kits for the DRAM layer that completes your server's memory hierarchy.

Drive Specifications

• Interface: PCIe Gen4 x4, PCIe Gen5 x4
• Form factors: M.2 2280, U.2 2.5", U.3 2.5", EDSFF E1.S / E3.S
• Capacities: 1.92TB, 3.84TB, 7.68TB, 15.36TB, 30.72TB
• Sequential read: up to 7.4GB/s (Gen4), up to 14GB/s (Gen5)
• Sequential write: up to 7.0GB/s (Gen4), up to 12GB/s (Gen5)
• Random read IOPS: up to 2M IOPS (4K QD256)
• Endurance: 1 DWPD to 3 DWPD
• MTBF: 2 million hours on enterprise-grade models

Stop Waiting for Data. Start Training.

The fastest GPU in your cluster is only as productive as the storage feeding it. DVUN's NVMe storage collection gives you the local storage throughput to eliminate data loading as a training bottleneck — so your GPUs spend more time computing and less time waiting. Request a quote for bulk NVMe orders or multi-drive server configurations.