Rent a GPU. Bring your workload.

Choose GPU memory for your model, a region that fits your data requirements, and enough CPU, RAM and storage for the full job. Add model identifiers, quantization, libraries and setup instructions. Your request goes to the operator for a sourced quote; a compatible prepared machine can be assigned automatically after payment.

Listings marked on request require confirmation. A GPU model in the catalogue is not a promise of live stock, a benchmark result or an instant launch.

SSH terminal

Command-line access for scripts, training jobs and your own tooling.

JupyterLab

A browser notebook environment, when installed and verified on the selected host.

Browser VS Code

A browser development workspace with a real, verified access URL.

Ubuntu workspace

A Linux desktop in the browser on a compatible configured machine.

Windows Remote Desktop

RDP access on a compatible Windows host; licensing and availability must be confirmed.

For LLM inference, account for model weights, quantization, context cache and simultaneous users. Fine-tuning also needs room for activations and optimizer state. Image generation depends on model, resolution and batch size. Test your actual workload before scaling a rental.

The starting minimum is four hours and $10. The initial payment is the greater of those floors at the quoted hourly rate, and applies to that rental. Voluntarily stopping early does not waive the minimum. Included usage is not charged again.

Pulze handles checkout and payment authorization. Clerk supports account sign-in separately. You can request compute without first choosing a wallet-based login.

Apply with hardware specifications, location, availability and proof that you can supply the capacity. Activation follows verification and agreement on rates, access, support and payouts. An application does not guarantee bookings or income.