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Nexus Compute

Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes)

A full-scale 128-GPU H200 pod for frontier training and large-scale HPC.

Full manufacturer warrantyAuthorized channel48-hour quote

We help you choose, configure, and deliver the right system — no obligation.

Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes) — Nexus Compute enterprise hardware
Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes) hardware detail 1
Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes) hardware detail 2
Nexus H200 128-GPU SuperPOD (16× HGX H200 Nodes) hardware detail 3

Configuration at a Glance

GPU / Accelerator128× NVIDIA H200 141GB HBM3e SXM5 (16× HGX H200 nodes)
GPU InterconnectNVSwitch intra-node; non-blocking NDR fat-tree inter-node
CPUDual Intel Xeon or AMD EPYC per node
MemoryUp to 2TB+ DDR5 ECC per node

Tailored per engagement. Full technical overview below.

Configuration Options

Core specifications for this system. Every component is configurable to your workload — request a quote for a tailored build.

GPU / Accelerator

128× NVIDIA H200 141GB HBM3e SXM5 (16× HGX H200 nodes)

Processor

Dual Intel Xeon or AMD EPYC per node

Memory

Up to 2TB+ DDR5 ECC per node

Storage

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

Organizations training frontier-scale models in-house
National labs and research centers needing pod-scale HPC+AI
AI companies requiring maximum HBM capacity at 128 GPUs
Enterprises building a flagship sovereign AI platform

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

1

Frontier and foundation model pretraining

2

Large-scale distributed training across 16 nodes

3

Converged HPC and AI scientific workloads

4

Flagship sovereign or institutional AI platform

Industry Applications

AI & Machine LearningGovernment & DefenseHigher Education & ResearchHPC

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 / Accelerator128× NVIDIA H200 141GB HBM3e SXM5 (16× HGX H200 nodes)
GPU InterconnectNVSwitch intra-node; non-blocking NDR fat-tree inter-node
CPUDual Intel Xeon or AMD EPYC per node
MemoryUp to 2TB+ DDR5 ECC per node
Networking / FabricQuantum-2 NDR 400Gb/s InfiniBand, QM9700 spine/leaf
StorageNVIDIA-certified parallel filesystem, GPUDirect Storage (multi-PB)
ManagementNVIDIA Base Command + UFM fabric management
Form FactorMulti-rack SuperPOD scalable unit
WarrantyNexus-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 — backed by warranty and a dedicated account team.

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.