DGX A100 vs RTX 3070: cloud rental cost compared

You can rent both by the hour, no purchase required. DGX A100 from $1.38/GPU/hr across 1 provider; RTX 3070 from $0.050/GPU/hr across 2 providers. The RTX 3070 is 96% cheaper at the entry rate.

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
RTX 3070
Good for inference and small-scale training workloads
$0.050/hr
Lowest / GPU
$0.130/hr
Median / GPU
8 GB
VRAM
Ampere
Architecture

Specs side by side

Spec
DGX A100
RTX 3070
VRAM
80 GB
8 GB
Architecture
Ampere
Ampere
Compute capability
8.0
8.6
Precisions in hardware
FP32, FP16, BF16, INT4
FP32, FP16, BF16, INT4
Interconnect
PCIe
PCIe 4.0 x16
Lowest $/GPU/hr
$1.38
$0.050
Median $/GPU/hr
$1.38
$0.130
Providers
1
2
Regions
1
2

Price by provider

Provider
DGX A100 $/GPU/hr
RTX 3070 $/GPU/hr
SimplePod
$0.050
RunPod
$0.130
Massed Compute
$1.38

DGX A100 vs RTX 3070: common questions

Is the DGX A100 or the RTX 3070 cheaper to rent?

On Aquanode's live marketplace the DGX A100 starts at $1.38/GPU/hr (median $1.38/GPU/hr across 1 provider) and the RTX 3070 starts at $0.050/GPU/hr (median $0.130/GPU/hr across 2 providers). The RTX 3070 is the cheaper of the two at the entry rate, by 96%.

What is the difference between the DGX A100 and the RTX 3070?

The DGX A100 has 80 GB of VRAM against the RTX 3070's 8 GB; both are Ampere parts; both run BF16, INT4 workloads in hardware. On price, the DGX A100 lists from $1.38/GPU/hr and the RTX 3070 from $0.050/GPU/hr.

Which cloud providers offer the DGX A100 and the RTX 3070?

1 provider list the DGX A100 (Massed Compute) and 2 list the RTX 3070 (SimplePod and RunPod), across 1 and 2 regions respectively. No single provider currently lists both models.

How much does 1,000 GPU-hours cost on the DGX A100 vs the RTX 3070?

At the lowest rates listed today, 1,000 GPU-hours costs $1,380 on the DGX A100 and $50 on the RTX 3070, a difference of $1,330 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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