HGX H100 8x SXM5 Rail-Optimized InfiniBand Training Node
Cluster-ready 8-GPU H100 node with eight NDR400 InfiniBand rails.
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.
8x NVIDIA H100 80GB SXM5 (640GB HBM3 total)
Dual AMD EPYC 9004, up to 96 cores per socket
Up to 6TB DDR5 ECC RDIMM
Hot-swap NVMe array; GPUDirect Storage-ready
Overview
This HGX H100 8-GPU SXM5 node is provisioned with eight ConnectX-7 NDR400 adapters in a rail-optimized layout so it scales linearly into multi-node GPU clusters. Nexus Compute specifies the GPU baseboard, EPYC CPUs, and InfiniBand fabric, validates collective throughput, and warranty-backs the system through authorized channels.
Who This Solution Is For
Business Benefits
Linear scale-out
Eight NDR400 rails give each GPU a dedicated path so cluster training scales with minimal communication overhead.
Fabric-tuned on delivery
We validate GPUDirect and NCCL throughput so the node performs in a multi-node topology from day one.
Cluster-ready building block
Standardized rail wiring lets nodes drop into a Quantum-2 InfiniBand pod without redesign.
Typical Business Use Cases
Distributed multi-node LLM training
Large-scale HPC and scientific simulation
Rail-optimized GPU cluster pods
GPUDirect RDMA storage and compute pipelines
Industry Applications
Technical Overview
The node carries the NVIDIA HGX H100 8-GPU SXM5 baseboard with four NVSwitches for intra-node 900GB/s NVLink, paired with eight NVIDIA ConnectX-7 NDR400 InfiniBand adapters for ~3.2Tbps of inter-node GPUDirect bandwidth. Dual AMD EPYC 9004 CPUs and multi-terabyte DDR5 feed the GPUs within a Quantum-2 rail-optimized fabric.
| GPU / Accelerator | 8x NVIDIA H100 80GB SXM5 (640GB HBM3 total) |
| GPU Interconnect | 4x NVSwitch, 900GB/s intra-node NVLink |
| Networking / Fabric | 8x ConnectX-7 NDR400 InfiniBand (~3.2Tbps GPUDirect) |
| CPU | Dual AMD EPYC 9004, up to 96 cores per socket |
| Memory | Up to 6TB DDR5 ECC RDIMM |
| Storage | Hot-swap NVMe array; GPUDirect Storage-ready |
| Form Factor | 8U rackmount (HGX) |
| Management | IPMI / Redfish out-of-band |
| Power | Titanium redundant PSUs (~10kW per node) |
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
Why eight InfiniBand rails per node?
A dedicated NDR400 rail per GPU keeps inter-node collectives at full bandwidth, which is what makes distributed training scale near-linearly across many nodes.
Do I need an InfiniBand switch fabric?
Yes for multi-node clusters; we help size Quantum-2 switches and cabling so the rail-optimized topology is complete end to end.
How many nodes can this scale to?
The rail-optimized design scales from a few nodes to large pods; we plan the fabric and storage to match your target cluster size.
Hardware Assistance
Configure the HGX H100 8x SXM5 Rail-Optimized InfiniBand Training Node 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.