A100 vs DGX A100: cloud rental cost compared

You can rent both by the hour, no purchase required. A100 from $0.735/GPU/hr across 7 providers; DGX A100 from $1.38/GPU/hr across 1 provider. The A100 is 47% cheaper at the entry rate.

A100
Good for training and inference on models that don't need FP8 kernels
$0.735/hr
Lowest / GPU
$1.59/hr
Median / GPU
80 GB
VRAM
Ampere
Architecture
DGX A100
Good for training and inference on models that don't need FP8 kernels
$1.38/hr
Lowest / GPU
$1.38/hr
Median / GPU
80 GB
VRAM
Ampere
Architecture
Last updated: 2026-09-19 02:27:16 UTCRefreshes hourly

Specs side by side

Spec
A100
DGX A100
VRAM
80 GB
80 GB
Architecture
Ampere
Ampere
Compute capability
8.0
8.0
Precisions in hardware
FP32, FP16, BF16, INT4
FP32, FP16, BF16, INT4
Interconnect
SXM4
Lowest $/GPU/hr
$0.735
$1.38
Median $/GPU/hr
$1.59
$1.38
Providers
7
1
Regions
7
1

Price by provider

A100 vs DGX A100: common questions

Is the A100 or the DGX A100 cheaper to rent?

On Aquanode's live marketplace the A100 starts at $0.735/GPU/hr (median $1.59/GPU/hr across 7 providers) and the DGX A100 starts at $1.38/GPU/hr (median $1.38/GPU/hr across 1 provider). The A100 is the cheaper of the two at the entry rate, by 47%.

What is the difference between the A100 and the DGX A100?

Both cards report 80 GB of VRAM; both are Ampere parts; both run BF16, INT4 workloads in hardware. On price, the A100 lists from $0.735/GPU/hr and the DGX A100 from $1.38/GPU/hr.

Which cloud providers offer the A100 and the DGX A100?

7 providers list the A100 (Vast.ai, RunPod, Verda, Massed Compute, HyperStack, Jarvislabs and Akash) and 1 list the DGX A100 (Massed Compute), across 7 and 1 region respectively. Both are available from Massed Compute.

How much does 1,000 GPU-hours cost on the A100 vs the DGX A100?

At the lowest rates listed today, 1,000 GPU-hours costs $735 on the A100 and $1,380 on the DGX A100, a difference of $645 for the same runtime. Rates are per GPU per hour and update hourly.

How this comparison is calculated

Every price is normalized to a per-GPU hourly rate using the same pipeline as every other pricing surface on Aquanode, and only the cheapest qualifying offer per provider is shown. A dash means that provider does not currently list that GPU.

Architecture, compute capability and supported precisions come from each vendor's published datasheet for that generation, not from the marketplace feed. This page regenerates at most once per hour.

Ready when you are

Submit the job.
A dead GPU doesn't end it.

Sign up in 60 seconds. Pay for the GPU minutes you actually use.

© 2026 Aquanode. All rights reserved.

All trademarks, logos and brand names are the property of their respective owners.