Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes)
A full-scale 128-GPU H200 pod for frontier training and large-scale HPC.
We help you choose, configure, and deliver the right system. No obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Configuration Options
Core specifications for this system. Every component is configurable to your workload, so request a quote for a tailored build.
128× NVIDIA H200 141GB HBM3e SXM5 (16× HGX H200 nodes)
Dual Intel Xeon or AMD EPYC per node
Up to 2TB+ DDR5 ECC per node
NVIDIA-certified parallel filesystem, GPUDirect Storage (multi-PB)
Overview
This 128-GPU H200 SuperPOD is a complete reference-architecture deployment, sixteen HGX H200 nodes, full NDR fat-tree fabric, and a certified parallel storage tier engineered to scale as one machine. Nexus Compute designs, sources through authorized channels, integrates, and acceptance-tests every layer, delivering a warranty-backed pod rather than a parts list.
Who This Solution Is For
Business Benefits
Reference-architecture certainty
Built to NVIDIA's H200 SuperPOD scalable-unit blueprint, the pod delivers validated performance and supportability rather than a bespoke gamble.
Frontier capacity, one machine
128 H200 GPUs with 141GB HBM3e each act as a single coherent training resource for the largest models and longest contexts.
End-to-end accountability
We own design, sourcing, integration, burn-in, and commissioning advisory so a complex multi-vendor build lands as one engagement.
Typical Business Use Cases
Frontier and foundation model pretraining
Large-scale distributed training across 16 nodes
Converged HPC and AI scientific workloads
Flagship sovereign or institutional AI platform
Industry Applications
Technical Overview
Sixteen NVIDIA HGX H200 8-GPU SXM5 nodes (128× H200 141GB HBM3e) form a scalable unit over a non-blocking NVIDIA Quantum-2 NDR 400Gb/s InfiniBand fat-tree, with separate storage and management fabrics. A NVIDIA-certified parallel filesystem with GPUDirect Storage and NVIDIA Base Command orchestration are sized to sustain full-pod throughput at the 128-GPU scalable-unit blueprint.
| GPU / Accelerator | 128× NVIDIA H200 141GB HBM3e SXM5 (16× HGX H200 nodes) |
| GPU Interconnect | NVSwitch intra-node; non-blocking NDR fat-tree inter-node |
| CPU | Dual Intel Xeon or AMD EPYC per node |
| Memory | Up to 2TB+ DDR5 ECC per node |
| Networking / Fabric | Quantum-2 NDR 400Gb/s InfiniBand, QM9700 spine/leaf |
| Storage | NVIDIA-certified parallel filesystem, GPUDirect Storage (multi-PB) |
| Management | NVIDIA Base Command + UFM fabric management |
| Form Factor | Multi-rack SuperPOD scalable unit |
| Warranty | Nexus-backed, NVIDIA AI Enterprise included |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need: genuine product, backed by the full manufacturer warranty.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners (never grey market). Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
Is this a true SuperPOD or SuperPOD-like?
It is built to NVIDIA's DGX/HGX H200 SuperPOD reference architecture at one 16-node scalable unit (128 GPUs), using the prescribed NDR fabric, storage certification, and management stack so behavior matches the documented blueprint.
Can it scale beyond 128 GPUs later?
Yes, the scalable-unit design is meant to compose. Additional units join the spine fabric, allowing expansion toward multi-hundred or thousand-GPU configurations without re-architecting the first unit.
What facility requirements should we plan for?
A 128-GPU H200 pod is high-density and high-power; we provide power, cooling, and rack planning advisory early so your data center or colocation is provisioned before delivery.
Hardware Assistance
Configure the Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes) with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system, typically within two business days. No obligation.