GPU rental pricing
Live prices for every GPU you can rent on Aquanode, refreshed every 6 hours. Billed per second: pay as you go with no minimum term, or a monthly plan you can cancel any time.
Monthly plans
Pay as you go with no minimum term, or take a monthly plan that adds GPU credit to your balance. Either way you pay the listed per-second rate below.
Creator
$29 a month
2,900 credits ($29) of GPU time every month.
About 17 hours of ComfyUI on the L40S.
Studio
$79 a month
7,900 credits ($79) of GPU time every month.
About 46 hours of ComfyUI on the L40S.
Team
$199 a month
19,900 credits ($199) of GPU time every month.
About 116 hours of ComfyUI on the L40S.
Plan credit is added to your balance at face value: 100 credits is $1.
Unused plan credit expires at renewal.
Usage past the plan credit bills per second at the listed rate.
Cancel any time.
Hours are the plan credit divided by today's rate for the L40S (48 GB), $1.70 an hour, counting whole hours only. The rate refreshes every 6 hours.
Price per GPU, per hour
The cheapest on-demand offer for each model. Preemptible is often cheaper: see the GPU Availability Index.
- vCPU per GPU
- 28
- RAM per GPU
- 55 GB
- Storage per GPU
- 791 GB
- Interconnect
- PCIe 4.0 x8
- vCPU per GPU
- 12
- RAM per GPU
- 72 GB
- Storage per GPU
- 350 GB
- Interconnect
- –
- vCPU per GPU
- 16
- RAM per GPU
- 74 GB
- Storage per GPU
- 700 GB
- Interconnect
- –
- vCPU per GPU
- 48
- RAM per GPU
- 88 GB
- Storage per GPU
- 5 TB
- Interconnect
- PCIe 5.0 x16
- vCPU per GPU
- 24
- RAM per GPU
- 218 GB
- Storage per GPU
- 256 GB
- Interconnect
- –
How to read these prices
Every offer on Aquanode is tagged on-demand or preemptible. On-demand capacity runs in operator-managed facilities with consistent uptime expectations; preemptible compute is real, often cheaper, hardware contributed by independent hosts. The cards above price only the on-demand tier, since that is the number most buyers researching GPU cloud pricing are actually comparing.
Every price on this page is an on-demand, list price. Aquanode does not currently offer spot/interruptible pricing or a separate committed-use/reserved tier: what you see is what a new deployment pays right now, with no bidding and no capacity auction. That also means a price here can move between page loads: it is a live minimum across current on-demand supply for that model, not a fixed rate card, and it is refreshed every 6 hours rather than daily.
Want the cheaper preemptible rate too? See the GPU Availability Index for lowest, median and p90 pricing across both tiers.
What's included in the price
The $/GPU/hr figure above already includes the vCPU, RAM and local storage that ship with that instance. Aquanode computes it by dividing the whole node's price by its GPU count, so there is no separate compute-only line item to add on top: what you see on each card is what an hour of that instance costs, in full.
Network egress and ingress policy is set by each on-demand provider individually and is not uniform across the marketplace. If a workload moves a lot of data in or out, check that specific offer's terms in the console before committing to it, rather than assuming a blanket policy.
How much does an AI server cost?
Renting an 8x H100 server, the standard shape for training and serving large models, costs $24.02/hr on Aquanode right now, or about $17,538 for a month of continuous use. Per-second billing means you pay only for the hours the server actually runs.
Aquanode prices a multi-GPU node per GPU, not as a separate bundled tier, so a larger node costs the same rate per card. The figures below are that same on-demand rate multiplied by node size, for planning a multi-GPU job, not a distinct volume-discounted price.
Which GPU for which workload
The default choice for training and fine-tuning models up to the ~30-40B range on a single card, and for high-throughput FP8 inference.
Same compute as H100 but 76% more VRAM and 43% more memory bandwidth, so a 70B model fits on one card in FP8 with room for a long KV cache, and it suits longer-context inference where KV-cache size, not compute, is the bottleneck.
The highest-throughput card on this marketplace: more than double H100's FP8 throughput and over double the memory bandwidth, plus native FP4 tensor-core support for the newest FP4-quantized model formats.
Still one of the most cost-effective cards for BF16 training and fine-tuning at the 7-30B scale, and its Multi-Instance GPU (MIG) support lets one 80GB card be partitioned into up to seven isolated instances for many small inference workloads at once.
The newest and highest-VRAM consumer flagship on this marketplace (32GB, Blackwell generation).
A PCIe, air-cooled inference and fine-tuning card that doesn't need SXM/NVLink server infrastructure.
A workstation-class card with 48GB VRAM at a lower TDP (300W) than the data-center accelerators, making it a reasonable single-card fit for 7-13B fine-tuning and inference without needing a rack-scale power/cooling budget.
How billing works
Per-second billing
Usage is metered per second while an instance is running and billed against your account's credit balance. Pay as you go has no minimum term: stop an instance and it stops costing you. A monthly plan adds credit to the same balance.
Stop instead of terminate
Stopping a pod captures its environment and volume and closes the provider lease, so there is nothing running and nothing to bill for while it's stopped. Auto-stop does this on its own after a period of low GPU use, off by default.
Volumes
Attach a volume so datasets and checkpoints persist independently of any one GPU instance, on any provider. A detached volume keeps costing while it exists, the same as any storage you don't delete.
Held environment and volume storage
Capturing your environment and volume is free. Holding them in Aquanode's managed storage bills at $0.02 per GiB per 30-day month, metered per second. A stopped pod keeps costing at that rate until you delete it, the same as any other stored data.
Storage that survives a provider switch
A pod's environment and volume are not tied to the provider they were captured on: both can be restored onto a different provider entirely, which matters when the cheapest current offer for a model moves.
Console on your own accounts
If you rent from other GPU clouds and only want the console, the seat is the whole price.
| Plan | Price | GPU time |
|---|---|---|
| Console seat | $20 a month | Billed by your own provider accounts, not by Aquanode |
Flat per month, with a cap on boxes running at once. Start with your own accounts.
FAQ
How much does it cost to rent an AI server?
On-demand GPU rates on Aquanode currently range from $0.167/hr to $9.35/hr per GPU, depending on the model. Preemptible rates on many of the same models run lower; see the full live range on the GPU Availability Index.
What's the difference between on-demand and preemptible pricing?
On-demand offers run in operator-managed facilities; preemptible compute is contributed by independent hosts and is often cheaper for the same GPU model. This page prices the on-demand tier only. The GPU Availability Index shows both.
How much does an H100 cost per hour?
The current lowest on-demand rate for H100 is $3.00/hr per GPU, across 13 live on-demand offers. Rates are refreshed every 6 hours; see the live prices above for the current price.
Is Aquanode billed hourly or by the second?
By the second. Usage is metered per second while an instance is running and billed against your account's credit balance, so a partial hour only costs for the seconds actually used.
Are there contracts or minimum commitments?
No contract is needed. Pay as you go has no minimum term: every listing is on-demand, so you can stop an instance whenever you want and billing for it stops immediately. A monthly plan is optional, adds GPU credit to your balance each month, and you can cancel it any time.
Do the monthly plans give a discount on GPU time?
No. Plan credit is added to your balance at face value: 100 credits is $1. Usage is billed at the same listed rate as pay as you go, so a plan sets the month's GPU time aside up front rather than lowering the price.
What happens to plan credit I do not use?
Unused plan credit expires at renewal. Usage past the plan credit bills per second at the listed rate. Cancel any time.
What's the cheapest on-demand GPU rental right now?
RTX A4000 is currently the cheapest on-demand listing, at $0.167/hr per GPU. Rates are refreshed every 6 hours, so check the live prices above for the current cheapest option.
Does Aquanode offer spot or interruptible pricing?
Not currently. Every price on this page is an on-demand list price; spot/interruptible pricing and a separate committed-use/reserved tier are not offered today.
What happens to billing when I stop a pod?
Stopping captures the pod's environment and volume and closes the provider lease, so billing for that instance stops the moment it's stopped. It starts again only once you start the pod, which can land on a different offer if the original one is no longer the cheapest.
How do I actually pay for GPU usage?
Usage is billed against your account's credit balance as it accrues, per second, rather than as a separate invoice per deployment. A team workspace shares one credit balance across everyone in it.
Is there a minimum GPU rental time?
No. Pay as you go has no minimum term on any listing: a deployment that runs for ten seconds is billed for ten seconds, never a full hour. A monthly plan is separate, adds credit each month, and you can cancel it any time.
Can I rent more than one GPU in the same instance?
Yes. Multi-GPU nodes are listed with their GPU count, and Aquanode prices them per GPU rather than as a separate bundled tier, so an 8x node costs eight times the single-GPU rate for that model. See the multi-GPU table above for current flagship examples.
Does the price include vCPU, RAM and storage, or are those billed separately?
They're included. The $/GPU/hr figure is the whole node's price divided by its GPU count, so the vCPU, RAM and local storage that ship with that instance are already in the number you see, with no separate compute line item.
Cost calculators, price reports and regional rates
Work out what a job costs before you rent, and see how rates move.
Estimate training time and cost from model size, token count and GPU, at the live per-GPU rates.
See what a GPU costs while it sits idle, and what auto-stop saves.
Month-to-date price per GPU per hour for every model, built from a daily snapshot of live rates.
Which GPUs are available in each country and the lowest per-GPU rate there.
Live per-model detail: offers, regions and rates for every GPU.
Prices as of: 2026-11-14Refreshes every 6 hours
Browse the full lists: GPU prices and specs for every card and GPU prices by country.
Your own GPU cloud accounts
One console for the GPU clouds you already rent from. Your keys stay on your machine.
$20 a month, flat
