Independent from compute
Deleting or replacing a GPU resource does not remove its standalone network volume.
A network volume is persistent storage that exists independently from compute. Keep datasets, checkpoints and model artifacts, then attach the volume to a cluster in the same region.
Transparent baseline
$0.07/GB/mo
standard NVMe up to 1 TB
4 TB
Self-service maximum
$0.05
Per GB over 1 TB
$0.14
High performance / GB
2
EU regions
Why GPURento
Deleting or replacing a GPU resource does not remove its standalone network volume.
Create storage in Paris or Frankfurt and attach it only to compute in the same region.
Increase a volume up to 4 TB from the dashboard while preserving its mount path and history.
From code to capacity
Choose class and size
Select Standard or High Performance NVMe, region, mount path and 10–4,000 GB.
Create after funding
Prepaid resources need a positive wallet balance. The $50 minimum applies to deposits, not to your remaining balance.
Attach to a cluster
Pick the volume during cluster creation; it remains reusable after that cluster is removed.
await fetch("/api/storage", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
name: "training-data",
region: "eu-west-par",
storageClass: "standard",
sizeGb: 500,
mountPath: "/workspace"
})
})Included
Every workload gets the same API, identity, billing and observability layer.
It is a persistent volume whose lifecycle is separate from GPU compute. It is designed for reusable datasets, checkpoints, weights and artifacts.
Configure resources directly in the dashboard. Prepaid usage uses wallet credit; monthly rentals have a separate checkout.
No. A volume can grow but cannot shrink, which avoids truncating existing data.
No. The volume and cluster must share the same region.
Ready when you are