?? Basics of Docker, Kubernetes, and Helm for Generative AI Applications (Try it on Ubuntu)

Generative AI is transforming industries by enabling automated content creation, intelligent assistance, and data-driven insights. To deploy and manage these Gen AI applications, models & micro services effectively, we need robust infrastructure. Docker, Kubernetes, and Helm come into play here, providing a streamlined, scalable, and containerized environment that supports modern AI applications.

This guide offers a step-by-step installation and configuration process for these tools on Ubuntu, specifically for Generative AI applications. Let’s dive in! ??

?? 1. Docker: Containerization for AI Workloads

Docker is an open-source platform that automates deploying applications inside lightweight containers. It ensures that AI models and applications run consistently across environments, managing dependencies and versions efficiently.

??? Installing Docker on Ubuntu:

1?? Update system and install dependencies:

$ sudo apt update
$ sudo apt install software-properties-common curl apt-transport-https ca-certificates -y        

2?? Add Docker’s GPG key:

$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/trusted.gpg.d/docker-archive-keyring.gpg        

3?? Add Docker's repository:

$ sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"        

4?? Install Docker and tools:

$ sudo apt install docker-ce docker-ce-cli containerd.io uidmap -y        

5?? Verify Docker installation:

$ sudo systemctl status docker        

You should see below

6?? Install Docker Desktop:

• Download the latest .deb file for Docker Desktop here.
• Move the file to your home directory and install it:

$ sudo apt-get install ./docker-desktop-amd64.deb        

Ignore permission-related warnings if they appear.

7?? Launch Docker Desktop:

• Open Docker Desktop and adjust settings based on your machine's configuration.

Additional Steps : You need to do additional steps for login into the desktop docker

?? 2. Kubernetes: Orchestration for Gen AI Applications, Models & Microservices

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and managing containerized applications. In Generative AI, Kubernetes manages multiple containers to ensure smooth operation across distributed environments.

??? Installing and Setting Up Kubernetes (kubectl):

1?? Download the latest release of kubectl:

$ curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"        

2?? Validate the binary:

$ curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl.sha256"        

$ echo "$(cat kubectl.sha256)  kubectl" | sha256sum --check        

Output should show: kubectl: OK.

3?? Install kubectl:

$ sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl        

4?? Verify installation:

$ kubectl version --client        

5?? Set Docker context and verify cluster info:

$ docker context use default        

$ kubectl cluster-info        

?? 3. Helm: Kubernetes Package Manager

Helm is a package manager for Kubernetes, simplifying application and service deployment. Helm is widely used in Generative AI for managing generative applications, microservices, model updates, configurations, and rollbacks.

??? Installing Helm:

1?? Download and install Helm:

$ curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 
$ chmod 700 get_helm.sh 
$ ./get_helm.sh        

If time permits I will come up with next article regarding integration between docker, kubernetes and helm in actual production scenario for Generative AI application ??

?? Integrating Docker, Kubernetes, and Helm for Generative AI

Once Docker, Kubernetes, and Helm are set up, you can deploy and manage containerized AI models seamlessly:

1?? Build Docker images for Generative AI models:

• Use Dockerfiles to package models and dependencies.

2?? Deploy AI containers on Kubernetes clusters:

• Use kubectl to manage pods, services, and scaling.

3?? Automate deployment using Helm charts:

• Helm simplifies deployment and scaling, making the process faster and consistent.

Conclusion

Docker, Kubernetes, and Helm form the foundation of deploying scalable, efficient, and reliable Generative AI applications. This powerful trio enables developers to focus on Gen AI application, model & micro service development while handling deployment complexities in a containerized environment. Implementing these tools will not only enhance the performance of your Gen AI application, model & micro service but also contribute to a streamlined workflow, allowing for rapid prototyping, testing, and deployment in real-world scenarios.