The DGX BasePOD architecture marks NVIDIA’s shift from rigid AI infrastructure to flexible, scalable, enterprise-ready deployments. Organizations can begin with a compact setup and expand to hundreds of DGX systems as AI workloads grow. Certified storage partners for DGX BasePOD include Dell, DDN, NetApp, Pure Storage, VAST Data, and Weka, all supporting NVIDIA Magnum IO GPUDirect Storage for ultra-low-latency GPU-to-storage data transfer.
VAST Data and NVIDIA began collaborating in 2016, pioneering disaggregated AI infrastructure and GPU-accelerated data solutions. As a certified storage provider for DGX BasePOD and DGX SuperPOD, VAST delivers scalable performance for AI and generative workloads. Support for NVIDIA GPUDirect Storage and BlueField DPUs further strengthens the foundation of DGX BasePOD deployments.
A key advantage of DGX BasePOD with VAST lies in its Disaggregated, Shared-Everything (DASE) architecture, which removes storage silos and legacy data tiers. This design proves that modern enterprise NAS, implemented at scale, can outperform traditional HPC file systems for AI training and inference when engineered with massive parallelism.
VAST delivers all-flash performance with archive-level economics using similarity-based data reduction, erasure coding, and QLC flash efficiency. Customers consistently achieve 3:1 data reduction, dramatically lowering storage costs while preserving high throughput needed for DGX BasePOD AI workloads.
Security and enterprise controls within DGX BasePOD include encryption, authentication, external key management, real-time data cataloging, multi-tenant isolation, and QoS controls. It also supports up to 1 million ransomware-protected snapshots with flexible replication models, making DGX BasePOD ideal for AI service providers and hyperscale environments.
Expansion within DGX BasePOD clusters is 100% non-disruptive, including software and hardware upgrades. This ensures maximum uptime for AI production workloads where system availability directly impacts business outcomes.
Optimized DGX BasePOD reference configurations are tailored for industries like healthcare, finance, NLP, autonomous driving, and medical imaging, supported by NVIDIA AI Enterprise tools, enabling rapid deployment without costly infrastructure redesigns.
NVIDIA has emphasized that DGX BasePOD combined with VAST enables enterprises to scale AI infrastructure confidently while transforming raw data into business-critical intelligence, bridging the gap from AI experimentation to enterprise-grade production.
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