services:
  backend:
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    environment:
      # MODEL_DEVICE 는 .env 로 덮어쓰기 가능. GPU 빌드라도 PyTorch/CUDA 호환 문제 (예:
      # 'no kernel image is available for execution on the device') 발생 시 .env 에
      # MODEL_DEVICE=cpu 를 두고 `docker compose ... up -d backend` 로 회피.
      MODEL_DEVICE: ${MODEL_DEVICE:-cuda}
      NVIDIA_VISIBLE_DEVICES: all