Official Templates
Official templates provided by AirCloud are available from Select Template during container creation. You can filter templates by framework or CUDA version, or search for a template by name.| Category | Included Environments |
|---|---|
| Jupyter AI | PyTorch or TensorFlow with CUDA 11/12 and Python 3.11 |
| Jupyter Base | Python 3.11 base environment |
| Code | VS Code Server–based development environment (Base / CUDA 12 / CUDA 13) |
| AirCloud Studio Beta | AirCloud’s integrated development environment |
The list of available templates may change over time. Refer to the container creation page for the latest templates.
My Templates
You can save an existing container configuration as a reusable template, allowing you to quickly deploy the same environment in future deployments.Save a Template
- From the Air Container list, click the ⋮ menu in the upper-right corner of the container card you want to save.

- Select Save as Template.
- Enter the template information and click Save.

| Field | Description |
|---|---|
| Template Name | A name used to identify the template. (Required) |
| Description | A brief description of the template. (Optional) |
| Keywords | Comma-separated tags used to search for the template (for example, web, server, database). |
Templates are shared with all members who have access to the current Project.
Use a Template
Select a template during the image configuration step when deploying a container.- Click Select Template on the container creation page.
- Filter by framework or search by template name.
- Select the desired template and click Save.
- Continue configuring ports, environment variables, resources, and other deployment settings.
Related Documentation
Deploy a Container
Learn the complete deployment workflow after selecting a template.
Access and Connect
Learn how to connect to deployed containers using the Web Terminal, AirCloud CLI, or SSH.

