A40 vs RTX 6000 Ada: cloud rental cost compared

You can rent both by the hour, no purchase required. A40 from $0.075/GPU/hr across 2 providers; RTX 6000 Ada from $0.735/GPU/hr across 4 providers. The A40 is 90% cheaper at the entry rate.

A40
Good for training and inference on models that don't need FP8 kernels
$0.075/hr
Lowest / GPU
$0.440/hr
Median / GPU
48 GB
VRAM
Ampere
Architecture
RTX 6000 Ada
Good for fine-tuning mid-size models and high-throughput inference
$0.735/hr
Lowest / GPU
$0.840/hr
Median / GPU
48 GB
VRAM
Ada Lovelace
Architecture

Specs side by side

Spec
A40
RTX 6000 Ada
VRAM
48 GB
48 GB
Architecture
Ampere
Ada Lovelace
Compute capability
8.6
8.9
Precisions in hardware
FP32, FP16, BF16, INT4
FP32, FP16, BF16, FP8, INT4
Interconnect
PCIe
PCIe
Lowest $/GPU/hr
$0.075
$0.735
Median $/GPU/hr
$0.440
$0.840
Providers
2
4
Regions
2
4

Price by provider

A40 vs RTX 6000 Ada: common questions

Is the A40 or the RTX 6000 Ada cheaper to rent?

On Aquanode's live marketplace the A40 starts at $0.075/GPU/hr (median $0.440/GPU/hr across 2 providers) and the RTX 6000 Ada starts at $0.735/GPU/hr (median $0.840/GPU/hr across 4 providers). The A40 is the cheaper of the two at the entry rate, by 90%.

What is the difference between the A40 and the RTX 6000 Ada?

Both cards report 48 GB of VRAM; the A40 is an Ampere part and the RTX 6000 Ada is Ada Lovelace (compute capability 8.6 vs 8.9); only the RTX 6000 Ada supports FP8 compute. On price, the A40 lists from $0.075/GPU/hr and the RTX 6000 Ada from $0.735/GPU/hr.

Which cloud providers offer the A40 and the RTX 6000 Ada?

2 providers list the A40 (Vultr and RunPod) and 4 list the RTX 6000 Ada (Vast.ai, RunPod, Massed Compute and DataCrunch), across 2 and 4 regions respectively. Both are available from RunPod.

How much does 1,000 GPU-hours cost on the A40 vs the RTX 6000 Ada?

At the lowest rates listed today, 1,000 GPU-hours costs $75 on the A40 and $735 on the RTX 6000 Ada — a difference of $660 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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