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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, so 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: genuine product, backed by the full manufacturer warranty.

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.