Hardware / GPU servers / HGX A100 80GB

Spec sheet · Ampere · 2020

HGX A100 SXM4 80GB: 8-GPU Server System

The proven Ampere workhorse: eight A100 80GB GPUs on NVLink 3. End of life at the OEM level, and the lowest-power HGX node.

Memory per GPU80 GB640 GB per node
Bandwidth per GPU2 TB/sHBM
FP8 dense per GPU—BF16 0.31 PF
Max power6.5 kWper 8-GPU node
HGX A100 SXM4 80GB: 8-GPU Server System

Full specifications

Compute

GPUs
8× NVIDIA A100 SXM4 80GB
FP16 (system)
~2.5 PFLOPS dense

Memory

GPU memory
80 GB HBM2e per GPU · 640 GB total
Memory bandwidth
2.0 TB/s per GPU · 16 TB/s total

Interconnect

GPU interconnect
NVLink 3 · 600 GB/s per GPU · NVSwitch
Network fabric
8× ConnectX-6 200G HDR InfiniBand

Power and cooling

GPU TDP
400 W per GPU
System power draw
6.5 kW max (DGX A100)

Platform

Host platform
2× Xeon SP or EPYC · 1 TB DDR4 · PCIe Gen 4
Common chassis
Supermicro SYS-420GP · DGX A100 · Dell XE8545
Form factor
4U–6U air-cooled
Architecture
Ampere
First shipped
2020

Power, cooling and rack density

CoolingPer nodePer rackRack power
Air6.5 kW4 nodes26 kW

A 32-node cluster (256 GPUs) needs about 0.3 MW of facility power: a colocation cage or suite. Size your own cluster in the site planner →

What one node can serve

Largest open models that fit on eight GPUs at FP8 with an 8K context, with estimated output throughput.

  • gpt-oss-120b13K tok/s
  • Qwen3.6 27B18K tok/s
  • gpt-oss-20b34K tok/s

Cost per million tokens in the inference calculator →

How it compares

SystemArchitectureMemory / GPUBandwidthFP8 denseMax powerCooling
HGX B300Blackwell Ultra288 GB8 TB/s4.5 PF15 kWLiquid / Air
HGX B200Blackwell180 GB8 TB/s4.5 PF14.3 kWAir / Liquid
HGX H200Hopper141 GB4.8 TB/s2.0 PF10.2 kWAir / Liquid
HGX H100Hopper80 GB3.35 TB/s2.0 PF10.2 kWAir / Liquid
HGX A100 80GBAmpere80 GB2 TB/s—6.5 kWAir
RTX Pro 6000 BlackwellBlackwell96 GB1.8 TB/s1.0 PF6.5 kWAir

How it connects to the cluster

Each GPU gets its own network card and its own port on the leaf switch, one rail per GPU. These are the parts on that path.

8× A100 80GB8× ConnectX-6 · 200G HDR200G QSFP56 optics or AOCLeaf: Quantum HDR (QM8700)

Alternatives to consider

What to verify before you buy

  • A100 systems have significant field hours; ECC error history is critical
  • HBM2e degradation: confirm vendor ran full HBM memory test
  • NVLink 3 fabric health: older NVSwitch boards can develop connector issues
  • Check firmware: A100 systems may be on outdated BIOS/BMC, confirm update path
  • EOL status: no new OEM support; factor extended warranty cost from third parties

Export controls

A100 80GB is export-controlled under EAR. While older than H100, the classification still applies. Verify end-user for all cross-border transactions.

Frequently asked questions

How much power does an HGX A100 80GB draw?

Up to 6.5 kW per 8-GPU HGX node at maximum rated power. Plan site power for that peak: training runs close to it. Inference typically averages 55–65% of it.

Is the HGX A100 80GB air-cooled or liquid-cooled?

The HGX A100 80GB is air-cooled.

How much GPU memory does an HGX A100 80GB have?

80 GB per GPU, 640 GB across eight, at 2 TB/s per GPU.

What models can one HGX A100 80GB node serve?

At FP8 with an 8K context, the largest open models that fit on eight GPUs include gpt-oss-120b, Qwen3.6 27B, gpt-oss-20b. The inference calculator shows throughput and cost for each.

What kind of site does an HGX A100 80GB cluster need?

A 32-node cluster (256 GPUs) needs roughly 0.3 MW of facility power with air cooling: a colocation cage or suite.

What comes after the HGX A100 80GB?

The HGX H100. The HGX A100 80GB is Ampere architecture, first shipped in 2020.

Sources: NVIDIA A100. Power is the maximum rated system draw; throughput and site figures are planning estimates from the same models as the Rack Rate tools.

Building with HGX A100 80GB?

Send us the cluster spec. We source the full bill of materials, and can finance it.