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Getting Started

1

Create your account

Sign up for Hyperbolic, then verify your email address. Check your inbox for a verification email and click the link to activate your account. Once verification is complete, you will be able to access the Hyperbolic platform.
2

Add payment

Before launching GPU instances, add funds to your account.Go to Billing → Add Funds, or click the Deposit icon in the top-right of your dashboard. Add at least $5.00 to your balance, then complete your payment through Stripe.Add credits dialog with preset amounts ($25, $50, $100, other) and a Pay Now button
Pro tip: Enable Auto Top-Up to help avoid interruptions. Auto Top-Up automatically adds credits to your account when your balance gets low, helping prevent active instances from being stopped or terminated because of insufficient funds.

Enable Auto Top-Up (Optional)

Set up automatic reloading to ensure uninterrupted service:
  1. Go to Billing → Auto Top-Up Settings
  2. Set your minimum balance threshold (e.g., $20)
  3. Choose auto-reload amount (e.g., $50)
  4. Save your preferences
You can manage your payment method, credits, and Auto Top-Up settings from the Billing page.
3

Add your team

If you are working with a team, create or join an Organization before launching workloads.Organizations let teammates share access to the same workspace, billing balance, and infrastructure usage. After creating or joining an Organization, invite your teammates so everyone can manage resources from one account instead of using separate individual accounts.You can manage Organizations from the top-left menu in your dashboard.Organization switcher menu in the top-left of the dashboard, showing the Personal organization and a New Organization option
4

Choose your path

Select the product that matches your workload:
  • Need flexible GPU access? Start with On-Demand GPUs.
  • Need predictable capacity at a lower rate? Reserve it self-serve with Reserved.
  • Need dedicated, custom-built infrastructure? Contact the team about Private Cloud.
  • Need API access to open-source language models? Use Inference.
  • Already run Kubernetes? Rent GPUs from your cluster with Rental Operator.
5

Start building

Launch workloads, test infrastructure, serve models, and scale into reserved or dedicated capacity when your requirements become predictable.Follow the quickstart for your path:
Launching a GPU instance requires a saved SSH key, which you select when you launch. Add keys in your account settings. See SSH Keys for details.

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Platform Capabilities

Flexible GPU Access

Start with on-demand GPU instances, then move into reserved or private infrastructure as workloads scale.

Reserved Capacity

Lock in GPU capacity for a fixed term at a discounted rate, self-serve from the dashboard.

Production-Scale Infrastructure

Support training, fine-tuning, inference, and production AI workloads with infrastructure that can grow with your team.

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Ready to Build?

Choose the infrastructure path that matches your workload today, then scale as your requirements become clearer. Useful links:
  • Dashboard — manage instances, billing, and organizations

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Need Help?

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Common Issues

  • Credit card payments appear instantly
  • Contact support if credits don’t appear within 30 minutes
  1. Ensure the instance was launched with the SSH key whose private key you’re using
  2. Check instance is in “running” state