Pay for What You Use
No stale rate cards. Your exact price is quoted before you deploy — you always see it before you commit.
Compute
Virtual servers and bare metal with dedicated CPU and RAM.
Per-second or per-hour depending on configuration
GPU Instances
NVIDIA A100 and H100 instances for AI/ML training, inference, and rendering.
Priced per GPU-hour, quoted live
Storage
NVMe block storage, snapshots, and backups.
Metered per GB-month
Network Transfer
Generous outbound transfer included with every server.
Generous egress allowance quoted per plan
Managed Kubernetes
Production-ready K8s clusters. Control plane managed, you own the workloads.
You pay for the nodes
Support Plans
From community support to dedicated engineers with custom SLAs.
Community tier included
How pricing works
Transparent pricing
You see the exact cost before you provision. Terms are confirmed with your engagement before you commit.
Live market pricing
Rates are based on underlying provider pricing and our service fee. We quote the exact figure before you commit.
Commit to save
Committed-term rates are reviewed per workload. Ask our team to quote terms that match your expected footprint.
What you can deploy
We share the exact live rate for any of these before you deploy.
| Family | Configurations | Notes |
|---|---|---|
| Virtual Machines | vm-standard (4 vCPU / 16 GB / 80 GB NVMe) | Linux, Windows, and bring-your-own image support. |
| Bare Metal | m4.metal.small (6 cores / 64 GB) → rs4.metal.xlarge (64 cores / 1.5 TB) | Single-tenant dedicated hardware. No noisy neighbors. |
| GPU Instances | 1×–8× A100 40GB, 1×–8× H100 80GB | Pre-configured ML images: PyTorch, TensorFlow, CUDA 12. |
| Storage & Networking | Block storage, snapshots, Elastic IPs, load balancers | Block storage and snapshots metered per GB-month. Egress allowances included; private networking included. |
Full technical catalog in the billing docs.
High-volume or reserved-capacity commitments? Volume discounts are available — talk to us.