Deploying through Docker

Navigate to Services

1. From the Aquanode Console, go to Services under Workloads.
2. You will see deployment options for:
   • GitHub Repo → Deploy from a GitHub repository
   • Docker Image → Deploy directly from a Docker image

Select Docker Image.

Configure Docker Image

On the Docker configuration screen, enter details of your container:

• Docker Image → e.g., nginx or your-registry.com/org/app
• Tag → Container tag (default: latest)
• Port Number (Optional) → Application port (e.g., 3000)

This defines which image will be deployed and how it will be exposed.

Build Settings

Specify basic runtime settings:

• CPU Units → Number of CPUs allocated (e.g., 1)
• Duration (hours) → Minimum runtime duration (Aquanode will keep the service running for this time unless stopped)

These settings control how much compute power your service receives and for how long it is provisioned.

Resource Settings

Define memory and storage requirements:

• Memory → RAM allocated to the container (e.g., 16 GB)
• Storage → Persistent disk size (e.g., 40 GB)

Optionally, configure GPU settings if your container requires GPU acceleration:

• GPU Configuration → Select from available models (H100, B200, A100, RTX series, etc.).
• Provider Filters → Narrow down to specific providers (e.g., Datacrunch, VoltagePark, Akash).
• Refresh → Updates the list of available GPUs in real time.

If no GPU is selected, the service runs on CPU-only resources.

Select GPU (Optional)

Scroll down to view available GPU options.
You can choose:

• GPU Model (e.g., B200, H100, A100)
• Provider (Datacrunch, Voltage Park, Akash Network)
• Region (US, EU, etc.)

Selecting a GPU ensures your Docker container can leverage GPU acceleration for ML inference, training, or high-performance workloads.

Create Deployment

1. Once configurations are complete, click Create Deployment.
2. Your deployment will appear in the Services list with a status of Active or Pending.
3. Deployments may take a few minutes to provision.

You can track status under Services → Active/Closed tabs.