H200 vs RTX A4000: cloud rental cost compared

You can rent both by the hour, no purchase required. H200 from $3.59/GPU/hr across 4 providers; RTX A4000 from $0.151/GPU/hr across 2 providers. The RTX A4000 is 96% cheaper at the entry rate.

H200
Good for training and serving frontier-scale LLMs
$3.59/hr
Lowest / GPU
$4.59/hr
Median / GPU
141 GB
VRAM
Hopper
Architecture
RTX A4000
Good for inference and small-scale training workloads
$0.151/hr
Lowest / GPU
$0.170/hr
Median / GPU
16 GB
VRAM
Ampere
Architecture

Specs side by side

Spec
H200
RTX A4000
VRAM
141 GB
16 GB
Architecture
Hopper
Ampere
Compute capability
9.0
8.6
Precisions in hardware
FP32, FP16, BF16, FP8, INT4
FP32, FP16, BF16, INT4
Interconnect
PCIe
PCIe
Lowest $/GPU/hr
$3.59
$0.151
Median $/GPU/hr
$4.59
$0.170
Providers
4
2
Regions
4
2

Price by provider

H200 vs RTX A4000: common questions

Is the H200 or the RTX A4000 cheaper to rent?

On Aquanode's live marketplace the H200 starts at $3.59/GPU/hr (median $4.59/GPU/hr across 4 providers) and the RTX A4000 starts at $0.151/GPU/hr (median $0.170/GPU/hr across 2 providers). The RTX A4000 is the cheaper of the two at the entry rate, by 96%.

What is the difference between the H200 and the RTX A4000?

The H200 has 141 GB of VRAM against the RTX A4000's 16 GB; the H200 is a Hopper part and the RTX A4000 is Ampere (compute capability 9.0 vs 8.6); only the H200 supports FP8 compute. On price, the H200 lists from $3.59/GPU/hr and the RTX A4000 from $0.151/GPU/hr.

Which cloud providers offer the H200 and the RTX A4000?

4 providers list the H200 (RunPod, Massed Compute, Vast.ai and Verda) and 2 list the RTX A4000 (HyperStack and RunPod), across 4 and 2 regions respectively. Both are available from RunPod.

How much does 1,000 GPU-hours cost on the H200 vs the RTX A4000?

At the lowest rates listed today, 1,000 GPU-hours costs $3,590 on the H200 and $152 on the RTX A4000, a difference of $3,439 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

Your next GPU already
has your environment on 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.