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NVIDIA DGX Station A100

Four A100 GPUs, desk-side and refrigerant-cooled — a data-center-class node without the data center.

Full manufacturer warrantyAuthorized channel48-hour quote

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

NVIDIA DGX Station A100 — NVIDIA enterprise hardware
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NVIDIA DGX Station A100 hardware detail 1
NVIDIA DGX Station A100 hardware detail 2
NVIDIA DGX Station A100 hardware detail 3

Configuration at a Glance

GPU / Accelerator4× NVIDIA A100 SXM4
GPU Memory320GB (4× 80GB) or 160GB (4× 40GB)
GPU InterconnectNVLink
CPUAMD EPYC 7742, 64 cores

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

4× NVIDIA A100 SXM4

Processor

AMD EPYC 7742, 64 cores

Memory

320GB (4× 80GB) or 160GB (4× 40GB)

Overview

DGX Station A100 puts four A100 SXM4 GPUs with NVLink into a desk-side, refrigerant-cooled chassis that runs on a standard office power outlet. It exists for teams that need data-center-class GPU memory and interconnect but have no rack, no raised floor and no facility cooling — a research group, a small AI team, or a department piloting on-premises work before committing to a cluster.

Who This Solution Is For

Research teams without data center or colocation access
Small AI groups needing NVLink-connected GPUs at the desk
Departments piloting on-premises AI before a rack investment
Universities placing capacity directly with a lab

Business Benefits

No data center required

Refrigerant-cooled and quiet enough for an office, on a standard power outlet.

NVLink at the desk

Four A100 GPUs connected by NVLink rather than four separate cards contending on PCIe.

MIG for shared use

Partitioning lets several researchers hold guaranteed capacity on one machine.

A proving ground

Validates on-premises AI before committing to rack infrastructure.

Typical Business Use Cases

1

Departmental and lab research where rack space is unavailable

2

Model development and fine-tuning close to the team

3

Shared capacity for several researchers via MIG

4

On-premises pilots ahead of a cluster purchase

Industry Applications

AI & Machine LearningResearch & Higher EducationFinancial ServicesHealthcare & Life Sciences

Technical Overview

A desk-side tower with four A100 SXM4 GPUs connected by NVLink, an AMD EPYC 7742 processor, system memory and NVMe storage, refrigerant-cooled and operating from a standard power outlet. GPU memory configuration (160GB or 320GB) and storage are confirmed at quotation.

GPU / Accelerator4× NVIDIA A100 SXM4
GPU Memory320GB (4× 80GB) or 160GB (4× 40GB)
GPU InterconnectNVLink
CPUAMD EPYC 7742, 64 cores
PartitioningMIG — up to 7 isolated instances per GPU
CoolingRefrigerant-cooled, office-appropriate acoustics
PowerStandard wall outlet
Form FactorDesk-side tower

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

Does it really run in an office?

Yes — that is the reason it exists. It is refrigerant-cooled rather than air-cooled at rack density, runs from a standard power outlet, and is quiet enough to sit beside a desk. It is the alternative to renting rack space for a team that needs four NVLink-connected data-center GPUs and does not have a data center.

How does this differ from a multi-GPU workstation?

The GPUs are SXM modules connected by NVLink rather than PCIe cards, so jobs that span GPUs get far more bandwidth between them, and it uses data-center A100 parts with MIG partitioning. A workstation with several RTX cards is cheaper and better for single-GPU work; this is for work that spans GPUs or needs the memory.

How is DGX quoted and delivered?

As a configured system rather than a boxed part. We confirm the exact platform revision, the networking and storage around it, rack power and cooling requirements, and the support term, then issue an itemised quote. Current availability and lead time are stated on that quote — accelerator allocation moves, and any figure published on a web page would be wrong for most buyers by the time they read it.

Should I buy DGX or an HGX system from Dell, Supermicro or HPE?

The GPUs and the NVLink fabric are the same silicon either way. DGX gives you one vendor accountable for the whole stack including the software environment, and is the designed unit if you are heading toward SuperPOD. An HGX system from a server vendor gives you your existing management tooling, support relationship and configuration choices. If your operations are already standardised on Dell or HPE, that consistency is frequently worth more than it looks on a spreadsheet. We supply both and will tell you which fits.

Hardware Assistance

Configure the NVIDIA DGX Station A100 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.