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FPT Container
    Importing YAML file
    Importing YAML file
    Updated on 16 Sep 2025
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    For quick deployment, or when you already have a configuration file prepared, use this feature to create a container rather than configuring it through the user interface.

    Step 1: Open Import Configuration modal

    1. Navigate to GPU Container from the side menu.

    2. Click Import Configuration located on the top right of the container list page.

    Alt text

    Step 2: Provide configuration file in YAML format

    You can import configuration in two ways:

    • Paste YAML directly into the YAML editor.
    • Upload a YAML file by clicking the Upload file button. Currently, GPU Container supports YAML files only.

    A sample YAML template can be downloaded by clicking Download template.
    Alt text

    Field Data type Sample data Description
    name string my-container Name of your container. Must be unique per tenant
    instance_type string GPU-H100-1 Vietnam site supports 1xH100 -> 8xH100; Japan site supports 1xH200 -> 8xH200
    image_setting Since a container can only have 1 image, please provide either template_name or image_url + image_tag
       template_name string Jupyter Notebook Built-in template name. Provides this in case you want to use built-in template provided by FPT. Please input an exact name in the list: Jupyter Notebook, Code Server, vllm-openai, vllm-openai-v0.10.1, ollama, ollama-openwebui, Ubuntu 24.04, Tensorflow 2.19.0, Nvidia Cuda 12.9.1, NVIDIA Pytorch 25.03.
       image_url string registry/myimage:latest (Optional) Custom image URL. Leave blank if using the built-in template.
       image_tag string v1.0 (Optional) Tag for custom image.
       image_user string admin (Optional) Username for private image registry.
       image_password string password123 (Optional) Password for private image registry
    access_container
       tcp_ports list[int] [22, 33] TCP ports exposed by the container
       http_ports list[int] [8888, 6006] HTTP ports exposed by the container
       ssh_keys Provide each pair of name-key SSH keys. Allow a maximum of 10 keys
          name string key01 Name of the SSH key
          key string "ssh-rsa AAAAB3..." SSH public key
    advanced_settings
       persistent_disk
          mount_capacity int (GB) 20 Amount of persistent storage to attach.
          mount_path string /workspace Path where persistent disk will be mounted inside the container.
       environment_variables
          key string USERNAME Environment variables injected at runtime.
          value string admin
       startup_commands
          cmds list[string] Startup commands (optional).
          args list[string] Startup command arguments (optional).

    Step 3: Review Configuration

    Info Icon
    Notice: The button “Review" will only be enabled when all the validations within the YAML editor have passed.

    Click Review to continue. On this screen, you can:

    • Verify container configuration including template, GPU, CPU, RAM, and disk allocation.
    • Check pricing summary to view the estimated hourly cost. Alt text

    Step 4: Create Container

    Once confirmed, click Create Container to start deployment. The system will automatically create and launch your container based on the provided configuration file.

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