Try it on a laptop
The demo runs the same three services as the box — inference, backend, and dashboard — with inference on the CPU and a small test model, so the stack starts healthy without any edge hardware.
Prerequisites
Section titled “Prerequisites”- Docker Engine with the Docker Compose v2 plugin
- A checkout of the X-Edge AI source repository
- Internet access on the first run, while Docker builds the images
1. Start the stack
Section titled “1. Start the stack”From the root of the repository:
./start-aiboard.shOn the first run, the script writes a fresh JWT signing secret into a local
.env, then starts the stack and waits for it to become healthy. Building the
images the first time takes several minutes.
2. Create an admin account
Section titled “2. Create an admin account”docker exec aiboard-backend-phase1.1 \ dotnet AiBoard.Orchestration.dll seed-admin \ --username admin --password '<choose-a-password>' --role admin3. Open the dashboard
Section titled “3. Open the dashboard”Open http://localhost (port 3000 also works) and sign in as admin.
4. Next steps
Section titled “4. Next steps”- First Inference — load a model and see live predictions
- Connect an input datasource — replay a CSV file, the fastest input to try
- Docker Lab Walkthrough — add OPC UA and MQTT simulators
To stop the demo, run docker compose down from the repository root.