Jarvislabs GPU pricing
Live per-GPU pricing for every model Jarvislabs currently lists on Aquanode's marketplace, across 2 regions.
How this price is calculated
All prices on this page are normalized to a per-GPU hourly rate using the same normalization as every other pricing surface on Aquanode. Most providers report a total price for the whole node, which is divided by the node's GPU count; some providers report their price as already per-GPU, so it is used as-listed.
No offers were excluded from this snapshot for a missing or invalid price. No offers were dropped as price outliers in this snapshot.
Only the cheapest qualifying offer per GPU model is shown above. This page regenerates at most once per hour.
Frequently asked questions
How much does Jarvislabs charge for a GPU?
Jarvislabs currently lists 5 GPU models on Aquanode's marketplace, starting from $0.431 per GPU per hour, with a median of $1.87 per GPU per hour.
Is Jarvislabs free?
No. Jarvislabs GPUs are rented by the hour, and in the current snapshot they run from $0.431 to $3.95 per GPU per hour. You pay for the time the machine is running, and Aquanode lists no free Jarvislabs capacity.
What is the cheapest Jarvislabs GPU?
L4, at $0.431 per GPU per hour in Noida, In. That is the lowest of the 5 models Jarvislabs lists on Aquanode right now. The table above has the rest, cheapest first.
Which GPUs does Jarvislabs have?
Jarvislabs lists L4, A100, RTX PRO 6000, H100, H200 on Aquanode right now. Availability moves, so this list is rebuilt from the live marketplace feed every hour.
Which regions does Jarvislabs offer?
Jarvislabs currently offers GPUs in: Chennai, In, Noida, In.
How does Jarvislabs work with Aquanode?
You choose the Jarvislabs GPU model and region you want, Aquanode provisions the machine, and it is billed to your Aquanode account by the hour alongside every other provider we support. Your environment is saved off the box, so you can stop a deployment and bring the same setup back later, including on a different provider than the one it started on.
