Nexus Compute GB200 NVL72 SuperPOD-Ready Scale Unit
Multi-rack Grace-Blackwell AI factory wired for non-blocking scale-out.
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 — request a quote for a tailored build.
High-throughput parallel filesystem
Overview
This SuperPOD-ready scale unit interconnects multiple GB200 NVL72 racks over a non-blocking Quantum-X800 InfiniBand fabric to form an AI factory engineered for the largest training runs. Nexus Compute designs, sources, integrates, and warranty-backs the multi-rack system through authorized channels, coordinating compute, liquid cooling, fabric, and storage so it commissions as one accountable build.
Who This Solution Is For
Business Benefits
Scale beyond one rack
Multiple NVL72 racks connect over non-blocking InfiniBand to train models no single rack could hold.
Engineered as one factory
Compute, cooling, fabric, and storage are designed together so the multi-rack system performs as an integrated whole.
One accountable supplier
We coordinate the many vendors a SuperPOD requires into a single engagement with unified warranty and support.
Typical Business Use Cases
Fleet-scale foundation model training
AI-factory and SuperPOD build-outs
Sovereign and national-scale AI compute
Multi-rack research and HPC clusters
Industry Applications
Technical Overview
The scale unit composes multiple liquid-cooled GB200 NVL72 racks, each a 72-GPU NVLink domain, into a SuperPOD over a non-blocking Quantum-X800 InfiniBand fabric with SHARP in-network reductions. A high-throughput parallel storage tier and Slurm or Kubernetes orchestration are integrated so the AI factory operates as a single coordinated system.
| Compute | Multiple GB200 NVL72 racks (72 Blackwell GPUs each) |
| Intra-Rack Link | 5th-gen NVLink Switch, 130TB/s per rack |
| Cluster Fabric | Non-blocking Quantum-X800 InfiniBand with SHARP |
| Shared Storage | High-throughput parallel filesystem |
| Orchestration | Slurm or Kubernetes + GPU/fabric monitoring |
| Cooling | Liquid-cooled, multi-rack |
| Scale | From one rack to multi-rack SuperPOD (configurable) |
| Deployment | Design, sourcing, integration, and commissioning |
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
How many racks make a scale unit?
It is configurable from a single NVL72 rack up to a multi-rack SuperPOD. We size rack count, fabric, and storage to your model scale, training timeline, and facility.
What facility planning does a SuperPOD require?
Multi-rack liquid cooling, high-density power, and substantial floor loading are involved. We lead power, cooling, and space planning early and can advise on colocation where needed.
Do you handle integration and commissioning?
Yes. As your supplier and design partner we coordinate sourcing, staged delivery, integration, and commissioning so the factory arrives as a working system.
Hardware Assistance
Configure the Nexus Compute GB200 NVL72 SuperPOD-Ready Scale Unit 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.