To set up a Hostinger GPU instance, follow a few simple configuration steps in Hostinger dashboard. The setup process involves selecting your hardware, configuring the instance details, adding account credits, and deploying the server.
Step 1 – Navigate to the GPU section
- Log in to your Hostinger dashboard and locate the Dev tools section on the side panel.
- Select the GPU option, which is located below the VPS menu.
- Click Get started in the overview area, or select a specific GPU directly from the available list.
Step 2 – Configure your GPU instance
- Confirm that your desired GPU model is selected. If you’re not sure which one fits your workload, see how to choose the right GPU instance at Hostinger.
- Enter a descriptive name for your Hostinger GPU instance.
- Select your preferred region. Be aware that GPU availability may be limited in certain regions due to high demand.
- Choose the instance size that best fits your workload requirements.
- Select the operating system or application from the list. See how to choose a template for your Hostinger GPU instance for more on these options:
- Ubuntu 24.04
- Ollama
- JupyterLab
- Unsloth
- InvokeAI
Be aware that selection may be limited depending on your instance size.
- Add an SSH key if you prefer to use one for secure server access.
Step 3 – Top up your account credits
- Click Top up to add credits to your user account. One euro roughly equals 100 credits.
- Choose your required amount of Agent Credits and select a payment method.
- Follow the on-screen instructions to complete your purchase.
See how to manage billing and credits for your Hostinger GPU instance for more on how billing works.
Step 4 – Deploy the GPU
- Review the estimated continuous use time to ensure it meets your requirements.
- Click Deploy to initialize your new Hostinger GPU instance.
- A waiting screen appears to display the setup progress. The Hostinger GPU deployment process takes several minutes to complete.
- You can safely navigate away from the page while the GPU deploys.
Once the deployment finishes, a confirmation message appears on your screen. Click Manage to access your dashboard, connect to the GPU, and start your workload.
Once your GPU instance is running, see:

