• Docker Engine with GPU support (NVIDIA Container Toolkit)
• Docker Compose v1.28+ (for GPU support)
• NVIDIA GPU with CUDA support

docker-compose up --build

docker-compose up -d

docker-compose logs -f

docker-compose down

The application runs on port 5000 by default. To change the port, edit docker-compose.yml:

ports:
  - "8080:5000"  # Change 8080 to your desired port

The Docker Compose file is configured to use all available NVIDIA GPUs. To limit GPU access:

deploy:
  resources:
    reservations:
      devices:
        - driver: nvidia
          device_ids: ['0']  # Use only GPU 0
          capabilities: [gpu]

The following directories are mounted for persistence:

• ./workflows - Saved workflows
• ./logs - Application logs

To use a different CUDA version, edit the Dockerfile:

FROM nvidia/cuda:12.8.0-runtime-ubuntu22.04  # Change CUDA version

For CPU-only deployment, use the CPU Dockerfile:

docker build -f Dockerfile.cpu -t pynode-cpu .
docker run -p 5000:5000 pynode-cpu

Once running, access the web interface at:

• http://localhost:5000

Verify NVIDIA Container Toolkit is installed:

docker run --rm --gpus all nvidia/cuda:12.6.0-base-ubuntu22.04 nvidia-smi

Ensure the mounted directories have proper permissions:

mkdir -p workflows logs
chmod 777 workflows logs

docker-compose down
docker-compose build --no-cache
docker-compose up