White Paper

Architecting the AI Data Center with VAST AI OS for NVIDIA DGX B300 SuperPOD

Enhance your AI lifecycle with a storage architecture designed to meet the high I/O demands of NVIDIA DGX B300 systems. This reference design demonstrates how the VAST Data AI Operating System and Data Platform, with a Disaggregated, Shared-Everything (DASE) architecture, separates logic from storage, enabling independent and non-disruptive scaling of performance and capacity.

This paper details the technical implementation for:

Multi-Protocol Fabric Integration providing native support for NFS-over-RDMA, S3, and NVMe/TCP across NVIDIA Spectrum-X or Quantum InfiniBand networks
Deterministic Performance optimizes data paths for LLMs and multimodal training, supporting aggregate read speeds up to 2,000 GBps in 8-SU configurations
Infrastructure Efficiency utilizes hyperscale QLC flash and global data reduction to deliver archive-tier economics for high-performance workloads

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