Set up a GPU instance
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Create an account and get a GPU instance up and running within a few minutes!
Click the Deploy Instance button on the Instances page.
On-demand instances are available for Pay As You Go pricing (every 10 minutes deducted from your account balance) or long-term rentals. Long-term rentals are paid fully up-front.
Spot instances are only available for Pay As You Go pricing because they can be deleted at any point.
First choose the model you would like. You can see the available sizes on the bottom of each model card (grey are unavailable). After clicking the desired model, the size section will appear with specifications. Select your desired size or request to be notified when it is available by clicking the Notify button.
You can choose between Ubuntu and JupyterLab with various configurations. Select Change Configuration to view all available options.
Create new storage by clicking the Add block volume or Add shared filesystem buttons, or select existing storage by clicking Add existing storage.
Your volumes must be detached in order to be attached to a new instance.
A startup script is a bash script that runs automatically when you deploy your GPU instance for the first time. It's handy for automating tasks without having to SSH into the instance and run the script manually.
The hostname is a human-friendly name to help you recognize an instance. The description shows various information about what type of instance it is, including OS, GPU model, and location. These are automatically generated, but you can edit them to be anything you want.
For Pay As You Go instances, you can choose between a fixed price and variable price. View more about .
In most cases, the above choices will automatically select the location for your instance.
Add a new SSH key from the Deploy instance page or Keys page. View .
Review your order summary and click Deploy now to deploy your instance. If you are ordering a long-term instance, your account balance will be deducted the full amount.
