Ubuntu-based Docker-in-Docker (DinD) Environment with NVIDIA Container Runtime Support

Overview

This repository offers an Ubuntu-based Docker-in-Docker (DinD) environment tailored for containerized development, enriched with NVIDIA container runtime support. The base image is crafted on Ubuntu 24.04.

Features

• Ubuntu 24.04: Built on the latest stable Ubuntu LTS platform for reliability and long-term support.
• Docker-in-Docker (DinD): Enables nested Docker containerization, ideal for CI/CD pipelines and advanced development workflows.
• NVIDIA Container Runtime: Facilitates execution of GPU-accelerated applications leveraging NVIDIA GPUs for enhanced performance.

Usage

Pull the Image

To obtain the pre-built Docker image from Docker Hub, execute the following command:

docker pull ghcr.io/prasad89/dind-ubuntu-nvidia

Run the Container

Standard (Non-GPU) Usage

For standard Docker operations without GPU support:

docker run -it --rm --privileged ghcr.io/prasad89/dind-ubuntu-nvidia

GPU-Accelerated Usage

To utilize NVIDIA GPU support within the Docker environment:

docker run -it --rm --privileged --gpus all ghcr.io/prasad89/dind-ubuntu-nvidia

Replace --gpus all with specific GPU settings (--gpus device=0,1) as per your hardware configuration.

Deploying in Kubernetes

To deploy the container in a Kubernetes cluster:

kubectl apply -f https://raw.githubusercontent.com/prasad89/dind-ubuntu-nvidia/main/k8s-deployement.yml

Using the Makefile

This repository includes a Makefile to simplify building, running, pulling, and pushing the Docker image. Below are the available commands:

Build the Docker Image

make build

Run the Container in Standard Mode (without GPU)

make run_standard

Run the Container with GPU Support

make run_gpu

Pull the Docker Image from the Registry

make pull

Push the Docker Image to the Registry

make push

Build and Run the Docker Image in Standard Mode

make build_run_standard

Build and Run the Docker Image with GPU Support

make build_run_gpu

Build and Push the Docker Image to the Registry

make build_push

Deploy the Container in Kubernetes

make k8s_deploy

Customizing the Makefile

If you need to customize the image name, tag, or registry prefix, you can modify the variables in the Makefile:

• IMAGE_NAME: The name of the Docker image (default: dind-ubuntu-nvidia).
• TAG: The tag for the Docker image (default: latest).
• REGISTRY_PREFIX: The registry prefix where the image is stored (default: ghcr.io/prasad89).
• GPU_COUNT: The number of GPUs to use (default: all). Adjust this as needed for your specific setup.