L40S vs T4: cloud rental cost compared

You can rent both by the hour, no purchase required. L40S from $0.668/GPU/hr across 4 providers; T4 from $0.158/GPU/hr across 1 provider. The T4 is 76% cheaper at the entry rate.

L40S
Good for fine-tuning mid-size models and high-throughput inference
$0.668/hr
Lowest / GPU
$1.09/hr
Median / GPU
48 GB
VRAM
Ada Lovelace
Architecture
T4
Good for inference workloads on older-generation hardware
$0.158/hr
Lowest / GPU
$0.158/hr
Median / GPU
16 GB
VRAM
Turing
Architecture
Last updated: 2026-09-19 02:24:19 UTCRefreshes hourly

Specs side by side

Spec
L40S
T4
VRAM
48 GB
16 GB
Architecture
Ada Lovelace
Turing
Compute capability
8.9
7.5
Precisions in hardware
FP32, FP16, BF16, FP8, INT4
FP32, FP16, INT4
Interconnect
PCIe
PCIe
Lowest $/GPU/hr
$0.668
$0.158
Median $/GPU/hr
$1.09
$0.158
Providers
4
1
Regions
4
1

Price by provider

Provider
L40S $/GPU/hr
T4 $/GPU/hr
Akash
$0.158
Vast.ai
$0.668
RunPod
$0.790
Massed Compute
$0.970
Nebius
$1.55

L40S vs T4: common questions

Is the L40S or the T4 cheaper to rent?

On Aquanode's live marketplace the L40S starts at $0.668/GPU/hr (median $1.09/GPU/hr across 4 providers) and the T4 starts at $0.158/GPU/hr (median $0.158/GPU/hr across 1 provider). The T4 is the cheaper of the two at the entry rate, by 76%.

What is the difference between the L40S and the T4?

The L40S has 48 GB of VRAM against the T4's 16 GB; the L40S is an Ada Lovelace part and the T4 is Turing (compute capability 8.9 vs 7.5); only the L40S supports BF16, FP8 compute. On price, the L40S lists from $0.668/GPU/hr and the T4 from $0.158/GPU/hr.

Which cloud providers offer the L40S and the T4?

4 providers list the L40S (Vast.ai, RunPod, Massed Compute and Nebius) and 1 list the T4 (Akash), across 4 and 1 region respectively. No single provider currently lists both models.

How much does 1,000 GPU-hours cost on the L40S vs the T4?

At the lowest rates listed today, 1,000 GPU-hours costs $668 on the L40S and $158 on the T4, a difference of $511 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

Submit the job.
A dead GPU doesn't end 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.