DGX A100 vs H200: cloud rental cost compared

You can rent both by the hour, no purchase required. DGX A100 from $1.24/GPU/hr across 1 provider; H200 from $3.59/GPU/hr across 4 providers. The DGX A100 is 65% cheaper at the entry rate.

DGX A100
Good for training and inference on models that don't need FP8 kernels
$1.24/hr
Lowest / GPU
$1.38/hr
Median / GPU
80 GB
VRAM
Ampere
Architecture
H200
Good for training and serving frontier-scale LLMs
$3.59/hr
Lowest / GPU
$4.59/hr
Median / GPU
141 GB
VRAM
Hopper
Architecture

Specs side by side

Spec
DGX A100
H200
VRAM
80 GB
141 GB
Architecture
Ampere
Hopper
Compute capability
8.0
9.0
Precisions in hardware
FP32, FP16, BF16, INT4
FP32, FP16, BF16, FP8, INT4
Interconnect
PCIe
PCIe
Lowest $/GPU/hr
$1.24
$3.59
Median $/GPU/hr
$1.38
$4.59
Providers
1
4
Regions
1
4

Price by provider

DGX A100 vs H200: common questions

Is the DGX A100 or the H200 cheaper to rent?

On Aquanode's live marketplace the DGX A100 starts at $1.24/GPU/hr (median $1.38/GPU/hr across 1 provider) and the H200 starts at $3.59/GPU/hr (median $4.59/GPU/hr across 4 providers). The DGX A100 is the cheaper of the two at the entry rate, by 65%.

What is the difference between the DGX A100 and the H200?

The DGX A100 has 80 GB of VRAM against the H200's 141 GB; the DGX A100 is an Ampere part and the H200 is Hopper (compute capability 8.0 vs 9.0); only the H200 supports FP8 compute. On price, the DGX A100 lists from $1.24/GPU/hr and the H200 from $3.59/GPU/hr.

Which cloud providers offer the DGX A100 and the H200?

1 provider list the DGX A100 (Massed Compute) and 4 list the H200 (RunPod, Vast.ai, DataCrunch and HyperStack), across 1 and 4 regions respectively. No single provider currently lists both models.

How much does 1,000 GPU-hours cost on the DGX A100 vs the H200?

At the lowest rates listed today, 1,000 GPU-hours costs $1,243 on the DGX A100 and $3,590 on the H200 — a difference of $2,348 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.

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