awaazo/docker-compose.yml at main · Radwanbaba13/awaazo · GitHub

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# Comment: How to install CUDA on your system with a CUDA-enabled NVIDIA GPU
#
# Prerequisites:
# - CUDA-enabled NVIDIA GPU
# - NVIDIA driver installed
#
# Steps to install CUDA:
# 1. Check the CUDA compatibility of your GPU by referring to the NVIDIA CUDA documentation:
#    [CUDA GPU Support](https://developer.nvidia.com/cuda-gpus)
# 2. Download the CUDA Toolkit from the NVIDIA CUDA Toolkit download page:
#    [CUDA Toolkit Downloads](https://developer.nvidia.com/cuda-downloads)
# 3. Follow the installation instructions provided by NVIDIA for your specific operating system:
#    - Windows: [CUDA Installation Guide for Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html)
#    - Linux: [CUDA Installation Guide for Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html)
#    - macOS: [CUDA Installation Guide for macOS](https://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html)
# 4. After successful installation, verify the CUDA installation by running the following command in the terminal:
#    ```
#    nvcc --version
#    ```
#    This should display the CUDA version information.
#
# Note: Make sure to carefully follow the installation instructions provided by NVIDIA to ensure a successful installation.
# Command to clear cache and dangling images and containers: docker system prune -a

version: '3.8'

services:

  # DATABASE (MSSQL)
  sql:
    platform: linux/amd64
    image: "mcr.microsoft.com/mssql/server:latest"
    container_name: sql_server
    user: root
    ports:
      - "1433:1433"
    environment:
      ACCEPT_EULA: "y"
      SA_PASSWORD: "MyPass@word" # For local dev ONLY. DO NOT SHARE ANY CREDENTIALS
    volumes:
      - "//c/mount/sql:/var/opt/mssql/data"
    restart: on-failure:5

  # PYTHON Server (For AI related Stuff)
  python_backend:
    platform: linux/amd64
    build:
      context: Python/.
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]
    container_name: python_server
    ports:
      - "8500:8000"
    volumes:
      - "//c/backend_server/ServerFiles:/home/myuser/code/ServerFiles"

  # BACKEND ASP.NET Server
  backend:
    platform: linux/amd64
    build:
      context: Backend/Backend/.
      target: final
    container_name: backend_server
    ports:
      - "32773:80"
    links:
      - sql:database
      - sql:sql_server
      - python_backend:py
    environment:
      ASPNETCORE_ENVIRONMENT: Development
    volumes:
      - "//c/backend_server/ServerFiles:/app/ServerFiles"
    depends_on:
      - sql
      - python_backend
    restart: on-failure:5

  # FRONTEND SERVER
  frontend:
    platform: linux/amd64
    build:
      context: frontend/.
    container_name: frontend_server
    environment:
      NODE_ENV: production
    ports:
      - "3500:3500"
    links:
      - backend:backend_server
    depends_on:
      - backend
    restart: on-failure:5