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Nexus Compute

Nexus HGX A100 8x SXM4 80GB Training Node

Eight NVSwitch-linked A100 80GB GPUs for full-scale model training.

Full manufacturer warrantyAuthorized channel48-hour quote

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

Nexus HGX A100 8x SXM4 80GB Training Node — Nexus Compute enterprise hardware
Nexus HGX A100 8x SXM4 80GB Training Node hardware detail 1
Nexus HGX A100 8x SXM4 80GB Training Node hardware detail 2
Nexus HGX A100 8x SXM4 80GB Training Node hardware detail 3

Configuration at a Glance

GPU / Accelerator8x NVIDIA A100 SXM4 80GB HBM2e
GPU InterconnectThird-gen NVLink via 6x NVSwitch (600 GB/s/GPU)
CPUDual AMD EPYC 7763 (64-core)
Memory1TB–2TB DDR4-3200 ECC

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

8x NVIDIA A100 SXM4 80GB HBM2e

Processor

Dual AMD EPYC 7763 (64-core)

Memory

1TB–2TB DDR4-3200 ECC

Storage

Hot-swap NVMe (configurable, up to 60TB)

Overview

This HGX A100 baseboard couples eight SXM4 A100 80GB GPUs through third-generation NVSwitch for non-blocking all-to-all bandwidth across the node. Nexus Compute specifies, configures, burns-in, and warranty-backs each system through authorized channels for production-grade training and HPC.

Who This Solution Is For

AI labs training large transformer models in-house
Enterprises building a foundation-model training capability
Research centers needing dense single-node GPU compute
Teams standardizing on a proven HGX reference platform

Business Benefits

Full all-to-all bandwidth

NVSwitch links all eight GPUs at 600 GB/s so large models shard efficiently within one node.

Burned-in and validated

Every node is stress-tested across GPUs, fabric, and thermals before it ships.

Proven training platform

The HGX A100 reference design carries mature CUDA, NCCL, and framework support.

Typical Business Use Cases

1

Large language model pre-training and fine-tuning

2

Distributed training with NCCL all-reduce

3

Mixed-precision HPC simulation

4

Multi-team shared training capacity

Industry Applications

AI & Machine LearningHigher Education & ResearchHPCGovernment & Defense

Technical Overview

Built on the NVIDIA HGX A100 8-GPU SXM4 baseboard with six NVSwitch chips delivering 600 GB/s per-GPU bidirectional NVLink bandwidth. Dual-socket AMD EPYC hosts feed the GPUs via PCIe Gen4 with InfiniBand HDR for cluster scaling.

GPU / Accelerator8x NVIDIA A100 SXM4 80GB HBM2e
GPU InterconnectThird-gen NVLink via 6x NVSwitch (600 GB/s/GPU)
CPUDual AMD EPYC 7763 (64-core)
Memory1TB–2TB DDR4-3200 ECC
StorageHot-swap NVMe (configurable, up to 60TB)
Networking / FabricInfiniBand HDR 200Gb + dual 25GbE
Form Factor4U rackmount
Power4–6x redundant 3000W PSUs
Warranty3-year warranty with advanced parts replacement

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 GPUs can a single HGX A100 node hold?

This configuration is a fixed 8-GPU SXM4 baseboard; all eight A100 80GB GPUs are interconnected by NVSwitch as one tightly-coupled unit.

Is this suited to training or inference?

It is optimized for multi-GPU training and HPC where NVLink all-to-all bandwidth matters; for partitioned serving consider our PCIe MIG configurations.

Can it scale beyond one node?

Yes. The integrated InfiniBand HDR adapters let multiple nodes form a non-blocking training fabric, which we size during specification.

Hardware Assistance

Configure the Nexus HGX A100 8x SXM4 80GB 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.