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Aquanode

One account over multiple GPU providers, with environments that survive a stop

GPU-focused🇺🇸 USgpucloudai

Last reviewed Aug 21, 2026

Aquanode is a GPU marketplace and workspace layer that lists on-demand and preemptible GPUs from multiple providers behind one account. Users rent GPUs billed by the second and keep their environment and data in a portable pod that can be stopped and restarted on a different card or provider.

GPU Models
41
From / hour
$0.09

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: October 5, 2026

A100 SXM
$1.10/hr
1×
A40
$0.539/hrout of stock
1×
B200
$7.47/hr
1×
H100 SXM
$2.19/hr
1×
H200
$3.95/hr
1×
HGX B300
$8.68/hrout of stock
1×
L4
$0.478/hr
1×
L40
$0.759/hr
1×
L40S
$0.726/hr
1×
MI300X
$2.63/hr
1×

Aquanode pricing by GPU

Configurations, price rank, and alternatives for one GPU at a time.

Pros & Cons

Advantages

  • Compares live offers for the same GPU model across several providers from one account and one balance
  • Billed per second with no minimum commitment, and a stopped pod does not rent a machine
  • Environment and volume persist across stops and can move to a different provider or region
  • Failover and automatic job retry on another machine if the chosen card is taken
  • Team features include shared balance, roles, and API keys that belong to the team

Limitations

  • Capacity comes from third-party providers, so availability and network policy vary by offer
  • Marketplace rates are live minimums that can change between page loads
  • No spot bidding or committed-use reserved tier is offered
  • Preemptible capacity is contributed by independent hosts and can be interrupted
  • No legal entity, headquarters or support SLA is published on the site

Key Features

Multi-provider GPU marketplace

One live marketplace over the providers Aquanode supports, so the same GPU model can be compared across offers before deploying. Each offer is tagged on-demand or preemptible.

Pods

An Environment (image and installed software) and a Volume (code, checkpoints, data) that persist while the rented machine is released, and can restart on a different GPU, provider or country.

Per-second billing

The machine is billed by the second only while it runs, with no minimum term; a stopped pod rents no machine.

Auto-stop

Opt-in per pod: an idle GPU gets a warning, then its environment and volume are captured and the machine is released.

Jobs

Run a command on a GPU to completion, with automatic retry on a different machine if a provider takes the original one away.

Teams and workspaces

Shared deployments, volumes, API keys and a credit balance owned by the team, with owner, admin and member roles.

aq CLI and API keys

A command-line client for renting and provisioning GPUs, plus scoped, expiring team API tokens for automation.

Templates and live metrics

JupyterLab and ComfyUI templates, startup scripts, a browser terminal on supported providers, and GPU utilization, VRAM, temperature and power metrics on running deployments.

Pricing Options

OptionDetails
On-demandPer-second billing while an instance runs, with no contract or minimum term
PreemptibleLower-cost capacity from independent hosts, shown beside on-demand offers in the GPU Availability Index
Storage for podsEnvironments and volumes are billed separately for the time they are held

Availability & Support

Regions

Capacity is listed across many countries in Europe, Asia and Oceania, varying with live supply. The regions page notes some regions, such as the United States and Canada, can show no listed capacity at a given time.

Support

Documentation at docs.aquanode.io, a Discord community, and a Book a demo / Contact Sales option on the website.

Getting Started

  1. 1

    Create an account

    Sign up in the Aquanode console and add credit to the account or team balance.

  2. 2

    Choose a GPU

    Browse live offers in the marketplace and pick a GPU model, provider and region.

  3. 3

    Launch a pod

    Start from a template such as JupyterLab or ComfyUI, or an empty box, and connect by browser terminal, SSH or the aq CLI.

  4. 4

    Stop when idle

    Stop the pod to release the machine and stop the hourly charge; the Environment and Volume are kept and can be started again on another provider.

Frequently Asked Questions

What GPU types does Aquanode offer?

Aquanode offers various GPU types including RTX A5000, RTX 4070, RTX PRO 4000, RTX A6000, A100 SXM, RTX 5000 Ada, H100 SXM, H200, RTX 3060 Ti, L40, RTX 5080, RTX 4080 SUPER, RTX 3080, RTX A2000, RTX 4070 Ti SUPER, RTX 4000 Ada, RTX 4080, RTX 4090, RTX 3070, A40, RTX 6000 Ada, HGX B300, RTX 4060 Ti, RTX PRO 5000, RTX A4000, RTX 4070 SUPER, RTX 5060 Ti, RTX 5070 Ti, RTX A4500, L40S, RTX 5070, RTX 4070 Ti, RTX 5090, B200, Tesla V100, MI300X, L4, RTX PRO 6000, RTX 3090, RTX 3060, RTX PRO 4500. Check the pricing table above for current availability and pricing.

How do I get started with Aquanode?

Create an account, Choose a GPU, Launch a pod, Stop when idle

What are Aquanode's main advantages?

Aquanode's main advantages include: Compares live offers for the same GPU model across several providers from one account and one balance, Billed per second with no minimum commitment, and a stopped pod does not rent a machine, Environment and volume persist across stops and can move to a different provider or region, Failover and automatic job retry on another machine if the chosen card is taken, Team features include shared balance, roles, and API keys that belong to the team.

What are Aquanode's limitations?

Aquanode's main limitations include: Capacity comes from third-party providers, so availability and network policy vary by offer, Marketplace rates are live minimums that can change between page loads, No spot bidding or committed-use reserved tier is offered, Preemptible capacity is contributed by independent hosts and can be interrupted, No legal entity, headquarters or support SLA is published on the site.

Compare Providers

Find the best prices for the same GPUs and models from other providers

Vast.ai logo

Vast.ai

36 shared GPUs with Aquanode

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AtmosCompute logo

AtmosCompute

33 shared GPUs with Aquanode

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Runpod logo

Runpod

32 shared GPUs with Aquanode

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