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Nexus Compute

Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 Nodes)

Two tightly-coupled H100 nodes — the right first step into multi-node training.

Full manufacturer warrantyAuthorized channel48-hour quote

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

Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 Nodes) — Nexus Compute enterprise hardware
Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 Nodes) hardware detail 1
Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 Nodes) hardware detail 2
Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 Nodes) hardware detail 3

Configuration at a Glance

GPU / Accelerator16× NVIDIA H100 80GB SXM5 (2× HGX H100 8-GPU nodes)
GPU InterconnectNVLink + NVSwitch intra-node; NDR InfiniBand 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

16× NVIDIA H100 80GB SXM5 (2× HGX H100 8-GPU nodes)

Processor

Dual Intel Xeon or AMD EPYC per node

Memory

Up to 2TB DDR5 ECC per node

Storage

High-throughput NVMe scratch tier (configurable)

Overview

This 16-GPU cluster pairs two HGX H100 8-GPU nodes over a non-blocking NDR InfiniBand fabric, giving teams genuine distributed-training capability without the footprint of a full pod. Nexus Compute specifies, integrates, burns in, and warranty-backs the compute, fabric, and shared storage as one tested system sourced through authorized channels.

Who This Solution Is For

Teams graduating from a single 8-GPU node to multi-node
AI startups standing up their first owned training cluster
Research labs needing 16 coherent GPUs for distributed runs
Enterprises piloting on-prem AI before pod-scale investment

Business Benefits

Real distributed training

A non-blocking NDR fabric lets the two nodes train as one, supporting FSDP and tensor-parallel workloads a single node cannot hold.

Delivered fully tested

We integrate and burn in the full stack so the cluster passes acceptance and runs jobs on arrival, not after weeks of bring-up.

Clean path to a pod

The fabric and storage are specified so you can add nodes toward a 32- or 64-GPU pod on the same architecture.

Typical Business Use Cases

1

Multi-node fine-tuning of mid-to-large language models

2

Distributed training pilots (FSDP, DeepSpeed, Megatron)

3

Shared training capacity for a small research team

4

Proof-of-concept before scaling to SuperPOD class

Industry Applications

AI & Machine LearningHigher Education & ResearchSaaS & SoftwareFinancial Services

Technical Overview

Two NVIDIA HGX H100 8-GPU SXM5 nodes (16× H100 80GB total) are joined by a rail-optimized NVIDIA Quantum-2 NDR 400Gb/s InfiniBand compute fabric with full NVSwitch inside each node. A high-throughput NVMe scratch tier and Slurm or Kubernetes orchestration complete the system, sized for distributed training from day one.

GPU / Accelerator16× NVIDIA H100 80GB SXM5 (2× HGX H100 8-GPU nodes)
GPU InterconnectNVLink + NVSwitch intra-node; NDR InfiniBand inter-node
CPUDual Intel Xeon or AMD EPYC per node
MemoryUp to 2TB DDR5 ECC per node
Networking / FabricNon-blocking NVIDIA Quantum-2 NDR 400Gb/s InfiniBand
StorageHigh-throughput NVMe scratch tier (configurable)
ManagementBMC / out-of-band per node + fabric manager
Form FactorSingle-rack, 2× 8U compute + ToR switching
WarrantyNexus-backed, NVIDIA AI Enterprise eligible

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 16 GPUs enough to need InfiniBand?

Yes — once you train across two nodes, gradient and activation exchange dominate step time. A non-blocking NDR fabric is what makes 16 GPUs behave like one training resource rather than two separate servers.

Can I start here and grow to a full pod?

We design the fabric and storage so additional HGX nodes drop onto the same rail-optimized topology, letting you scale toward 32 or 64 GPUs without re-architecting.

How is it delivered and supported?

It arrives integrated, burned in, and acceptance-tested, with Nexus-backed hardware warranty and optional NVIDIA AI Enterprise software support.

Hardware Assistance

Configure the Nexus H100 16-GPU NDR InfiniBand Cluster (2× HGX H100 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.