CoreWeave vs Aquanode

Large-scale AI cloud, Kubernetes-native, enterprise contracts

CoreWeave is built for organisations buying GPU capacity at fleet scale on contracts, with Kubernetes-native infrastructure and one of the largest H100/H200/GB200 estates anywhere. If you are one developer who wants a box that remembers your environment, it is the wrong shape and the published per-GPU rates show it.

Where CoreWeave wins

  • Fleet scale and hardware breadth, including GB200 NVL72 — capacity most brokers simply cannot source.
  • Kubernetes-native infrastructure, high-performance storage and networking built for large distributed training.
  • Enterprise contracting, compliance and support that a self-serve product does not attempt.

Where Aquanode wins

  • Your environment survives the box. Pause a deployment, come back tomorrow, resume with packages, model weights and config intact — instead of rebuilding from a fresh image every session.
  • A snapshot taken on one provider restores onto another. Supply moved, price moved, or a region ran dry — the environment follows, rather than being stranded in the account that created it.
  • One account across every provider we broker, so you are not maintaining separate logins, keys and billing per vendor to chase capacity.
  • Automated backups are on by default when you attach storage at deploy time, at a 6-hour interval — you do not have to remember to configure them.

CoreWeave pricing vs Aquanode

CoreWeave figures are On-demand, North America, per GPU, read from their own pricing page on 2026-08-05. The Aquanode column is the lowest live per-GPU rate in our marketplace feed and moves on its own — the two columns are not measured the same way, so treat this as a starting point, not a quote.

GPU
CoreWeave
Aquanode (live)
GB200 NVL72
$10.50/GPU/hr
HGX B200
$8.60/GPU/hr
from $5.09/GPU/hr
HGX H200
$6.31/GPU/hr
from $3.88/GPU/hr
HGX H100
$6.16/GPU/hr
from $2.29/GPU/hr
A100 80GB
$2.70/GPU/hr
from $0.734/GPU/hr

Source: https://www.coreweave.com/pricing On-demand, North America, per GPU. Verified 2026-08-05. Vendors change prices; check theirs before deciding.

What we do not claim

Restoring an environment requires a snapshot that already exists. Stopping a deployment yourself captures it on the way out, so you can bring it back later on any provider. A provider-side termination is different: it is only recoverable if you had already switched automated snapshots on for that deployment, and it costs you the work since the last one. Automated snapshots are opt-in — nothing runs until you start it — and with none running there is nothing to restore.

`aq deploy --snapshot <id>` rents the cheapest matching GPU and restores your snapshot onto it — including onto a different provider than the one it came from. Creating the snapshot is a separate step today: the standalone ogre CLI on the box writes it.

CoreWeave vs Aquanode: common questions

Should I use CoreWeave or Aquanode?

If you are contracting for reserved fleet capacity or running large distributed training, CoreWeave. If you are renting single boxes and the expensive part is rebuilding your environment each time, that is what we are for.

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