We made the provider layer programmable.
How a job runs on Aquanode
GPU machines that keeps your work
Under 5% GPU for 30 minutes and you get a warning. At 60 the Pod's environment and volume are captured and the machine is released. Compute stops there; storage for the Pod keeps billing.
GPUs on a long lease somewhere, or racks of your own on-prem? Bring them in and run Jobs and Pods on them the way you would on marketplace capacity, against your own storage bucket. Release the box and it keeps running; we revoke our credentials and drop the record.
Book a demo →Observability on every deployment
Jobs and Pods alike. Utilization, VRAM, temperature and power, read off the card every few seconds. A reading the card cannot give you says so, instead of showing a zero.
How live metrics work →