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Select an offer

Start in the Compute Marketplace (sidebar). Choose a GPU type, apply any filters, then click Deploy on the offer you want. You’ll be taken to the deploy configuration page with the selected offer’s specs displayed at the top:
  • GPU model, VRAM, and architecture
  • Location
  • vCPU count, RAM, and disk specs

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Configure your deployment

1

Choose a template

Templates are pre-configured environments that determine what software is installed when your instance boots.Depending on the offer, you’ll see either:
  • A searchable template catalog with recommended images (NVIDIA CUDA is selected by default), or
  • Templates grouped by category — PyTorch & ML, Development, and System
Each template shows tags (e.g., PyTorch, Jupyter, CUDA, Docker) so you can see what’s included at a glance.Some offers also let you select an OS image — the list shows CUDA-enabled images sorted by version (newest first).
2

Set disk size

Some offers include a fixed amount of storage. For others, you can adjust the disk size using the slider or number input.Storage costs are included in your hourly rate breakdown.
3

Select a region

If multiple locations are available for your offer, choose your preferred region from the dropdown.
4

Choose an SSH key

Select which SSH key to use for the instance. Your managed (platform-generated) key is pre-selected by default.Keys are listed with their fingerprint for identification. If you need to add a new key, there’s a link to the SSH keys management page.
5

Attach a volume (optional)

You can optionally attach an existing volume. Only volumes that are Available and in the same region as your deployment are shown in the dropdown. You can also create a new volume from this page.
Volumes are available for select offer types. If the volume dropdown doesn’t appear, the offer type doesn’t support attachable volumes.
6

Review cost and deploy

The cost summary shows a full breakdown:Your current credit balance and estimated runtime (balance / hourly rate) are displayed.Click Deploy to launch. If your balance is insufficient, you’ll see Fund & Deploy which takes you to add credits first.

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After deployment

Once you click Deploy, your instance goes through these states:
  1. Initializing — Setting up the deployment
  2. Provisioning — Creating your instance
  3. Connecting — Waiting for SSH access to become available
  4. Running — Your instance is ready to use
Provisioning typically takes 1–3 minutes. You can monitor progress in the Deployments page.
You’re charged for the first hour when you deploy. After that, billing continues hourly. If your balance runs out, the deployment is automatically stopped.

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Stopping a deployment

In the Deployments page, click Stop on any running deployment. The instance is shut down and billing stops. Any attached volumes are automatically detached and returned to the Available state.

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What happens if a deployment fails?

If provisioning fails, you’ll see a Failed status in the Deployments page. Any charges for the failed deployment are automatically refunded to your credit balance. You can try deploying again — consider picking a different offer or region if the issue persists.