Nvidia DGX POD

Purpose-built for the unique demands of AI

Enterprise Infrastructure to Power AI Factories

Nvidia DGX POD

Unlock your organization’s AI potential with the NVIDIA DGX POD, a fully integrated, enterprise-grade platform for building and scaling modern AI. Designed as a blueprint for rapid adoption, it removes the complexity of assembling high-performance AI infrastructure. With consistent architecture, predictable performance, and simplified deployment, the DGX POD helps businesses move from experimentation to production faster.

Technical Insight – Architecture & Scale

The DGX POD combines multiple DGX systems into a unified, high-throughput cluster interconnected with NVIDIA Quantum InfiniBand. The POD can power 4 to 40+ DGX A100 systems. This architecture delivers near-linear scaling for training and inference, ensuring that GPUs communicate with minimal latency. By standardizing compute, networking, and storage, the POD eliminates integration challenges common in DIY clusters. IT teams gain an infrastructure that is easier to expand, easier to optimize, and purpose-built for large-scale AI and HPC pipelines—reducing delays and maximizing operational efficiency.

Performance and Management

Optimized for demanding enterprise workloads, the DGX POD integrates automated orchestration, advanced scheduling, and workload-aware management tools. This ensures consistently high GPU utilization and smooth operation even under mixed AI workloads. Built-in telemetry provides deep visibility across the cluster, helping teams detect bottlenecks early and maintain peak performance.

DGX BasePOD – Enterprise-Grade AI Made Simple

NVIDIA DGX BasePOD offers a pre-validated, scalable infrastructure foundation to help enterprises deploy on-prem AI with confidence. Built on proven DGX systems, it simplifies cluster design, accelerates implementation, and provides predictable performance for both experimentation and production. Ideal for building an AI center of excellence.

DGX SuperPOD – Massive, Turnkey AI Supercomputing

NVIDIA DGX SuperPOD is a full-scale AI supercomputer optimized for large-scale training and inference. It connects dozens to thousands of DGX H100 (or other) nodes via high-performance InfiniBand, delivering world-class throughput, ultra-low latency, and seamless scaling. The turnkey solution includes integrated compute, storage, networking, and management—ready for enterprise-grade AI workloads.
NVIDIA DGX SuperPOD Data Sheet

Choosing Between BasePOD vs. SuperPOD

Select BasePOD if you're building a reliable, modular AI cluster with validated growth paths and manageable scale. Opt for SuperPOD when you need maximum performance and scalability—accelerating massive, multi-node training runs with end-to-end infrastructure ready out of the box.

Get Expert Guidance on Your NVIDIA POD Deployment

Unlock the full potential of your AI infrastructure with our certified NVIDIA deployment specialists. Whether you're exploring BasePOD or scaling to SuperPOD, we can help you design, integrate, and optimize the right solution for your organization. Reach out today for tailored support and next-step guidance.

Configurators

DEMAND_DGX-BasePOD

Expected delivery: 16-20 weeks
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NVIDIA DGX BasePOD
  • Cluster
  • Features At least 100TB of shared parallel storage
  • At least 3 years of warranty and support.
  • Between 4 to 16 latest generation DGX Servers
  • High speed ethernet or InfiniBand network
  • NVIDIA management software
DEMAND_DGX-SuperPOD

Expected delivery: 16-20 weeks
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NVIDIA DGX SuperPOD
  • Cluster
  • Features A dedicated NVIDIA services contact person
  • At least 3 years of warranty and support
  • At least 31 latest generation DGX Servers
  • At least 500TB of shared parallel storage
  • Non-blocking high speed InfiniBand network
  • NVIDIA management software
DEMAND_GB200-NVL72

Expected delivery: 16-20 weeks
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NVIDIA GB200 NVL72
  • Cluster
  • CPU Sockets 36
  • Max Supported Memory
    17 TB  LPDDR5X  ECC Supported
  • Features Configuration: 36 Grace CPU : 72 Blackwell GPUs
  • CPU Bandwidth: Up to 18.4 TB/s
  • CPU Memory: Up to 17 TB LPDDR5X
  • FP32: 5,760 TFLOPS
  • FP64: 2,880 TFLOPS
  • GPU Bandwidth: 576 TB/s
  • GPU Memory: Up to 13.4 TB HBM3e