A100 vs L4: cloud rental cost compared

You can rent both by the hour, no purchase required. A100 from $1.35/GPU/hr across 5 providers; L4 from $0.490/GPU/hr across 1 provider. The L4 is 64% cheaper at the entry rate.

A100
Good for training and inference on models that don't need FP8 kernels
$1.35/hr
Lowest / GPU
$1.59/hr
Median / GPU
80 GB
VRAM
Ampere
Architecture
L4
Good for inference and light fine-tuning workloads
$0.490/hr
Lowest / GPU
$0.490/hr
Median / GPU
24 GB
VRAM
Ada Lovelace
Architecture

Specs side by side

Spec
A100
L4
VRAM
80 GB
24 GB
Architecture
Ampere
Ada Lovelace
Compute capability
8.0
8.9
Precisions in hardware
FP32, FP16, BF16, INT4
FP32, FP16, BF16, FP8, INT4
Interconnect
PCIe
Lowest $/GPU/hr
$1.35
$0.490
Median $/GPU/hr
$1.59
$0.490
Providers
5
1
Regions
5
1

Price by provider

A100 vs L4: common questions

Is the A100 or the L4 cheaper to rent?

On Aquanode's live marketplace the A100 starts at $1.35/GPU/hr (median $1.59/GPU/hr across 5 providers) and the L4 starts at $0.490/GPU/hr (median $0.490/GPU/hr across 1 provider). The L4 is the cheaper of the two at the entry rate, by 64%.

What is the difference between the A100 and the L4?

The A100 has 80 GB of VRAM against the L4's 24 GB; the A100 is an Ampere part and the L4 is Ada Lovelace (compute capability 8.0 vs 8.9); only the L4 supports FP8 compute. On price, the A100 lists from $1.35/GPU/hr and the L4 from $0.490/GPU/hr.

Which cloud providers offer the A100 and the L4?

5 providers list the A100 (Massed Compute, HyperStack, RunPod, Verda and Akash) and 1 list the L4 (RunPod), across 5 and 1 region respectively. Both are available from RunPod.

How much does 1,000 GPU-hours cost on the A100 vs the L4?

At the lowest rates listed today, 1,000 GPU-hours costs $1,350 on the A100 and $490 on the L4, a difference of $860 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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