Standard GPU Pods
Cost-effective GPU rental from a distributed provider network. The right choice when you need raw compute at the best price and hardware confidentiality is not a requirement.
Standard vs Confidential — which one?
| Standard GPU | Confidential Compute | |
|---|---|---|
| Hardware confidentiality (Intel TDX) | No | Yes — memory encryption, Protected PCIe, attestation |
| Typical price | Lowest — distributed provider network | Premium — hardware-sealed capacity |
| GPU range | RTX 4090, A100, H100, H200, B200, B300 and more | H100, H200, B200 (TDX hosts) |
| Persistent volumes | Not yet available | Yes |
| Best for | Training runs, rendering, batch jobs, experimentation | Regulated data (health, legal, finance), private inference |
Deploy a Standard GPU pod
- Open Browse Pods and select the ⚡ Standard GPU tab.
- Pick a machine — price shown is your final per-hour price, billed per second.
- Choose a Docker template (PyTorch, CUDA, Ubuntu...) or bring your own image.
- Select or add an SSH key — required for access.
- Deploy. 1 hour is prepaid at deploy; if you stop earlier, the unused time is refunded per second.
Billing
- Per-second billing with 1 hour prepaid at deployment.
- Stopping a pod within the first hour refunds the unused prepaid fraction automatically.
- Pods are stopped automatically if your balance reaches zero.
SSH access
SSH keys are managed centrally in your dashboard and work for both Standard and Confidential pods. Once the pod is running, the connection command appears on the pod detail page.