Pick the hardware
Compare available GPU types and hourly prices before you deploy.
GPU selectionUse an API for inference or GPU instances for your own stack. Manage access and billing in one place.
Open Deploypad Read the docsSelect your hardware and region, add an SSH key, and deploy. Connect to the instance and configure the software you need.
Compare available GPU types and hourly prices before you deploy.
GPU selectionSelect a GPU quantity and datacenter region for your workload.
Configuration guideGet your instance address and copy the SSH command from the console.
Connection guideFor non-enterprise accounts, GPU launch requires eligible, active auto top-up, a confirmed card, and no pending automatic payment.
Billing setupKeys, capacity, payments, and account access stay together in Deploypad.
Create API keys in Serverless Inference. Review request, token, and concurrency limits, then request a change when you need more capacity. Keys on the same account share each model's limits.
Standard accounts use a prepaid wallet. Where eligible, save a card and choose a balance threshold, top-up amount, and monthly auto top-up cap. Enterprise billing follows your account agreement.
Use a passkey to sign in with your device's biometrics, PIN, or security key. Enable an authenticator app for two-factor verification, with an email fallback when needed.
See invoice history, preview unbilled usage, and review line items by instance, region, and hours used. These records cover bare-metal infrastructure; payment arrangements follow your account agreement.
GPU API access requires enterprise approval. Availability and SSH key endpoints are documented as available. Launching, stopping, and deleting instances through this API is not currently available; use the Deploypad console for deployment.
Choose your model or GPU. Take the next step from the console.
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