In my latest blog post, I share my journey setting up K3S, a lightweight Kubernetes distribution, in my home lab. With a step-by-step guide, I install K3S on an Ubuntu Server 22.04.2 LTS, offering a seamless experience. The post covers creating useful aliases for simplifying interactions with K3S and verifying the installation. Additionally, I introduce Portainer to manage Docker and Kubernetes in my home lab. I walk through setting up Portainer, adding a Kubernetes environment, and connecting it to the K3S cluster. Furthermore, I establish a local Docker registry and demonstrate optional steps for pushing and deploying Docker images within the K3S cluster.

After completing the Generative AI with Large Language Models course, I'm thrilled to share my Dockerized experience running the LLaMA model. The guide covers setting up the project structure, creating a FastAPI application, and Dockerizing it. Additionally, I showcase building an AI chatbot, integrating it with FastAPI, HuggingFace embeddings, and LLaMA. The Docker environment loads the LLM and allows seamless interactions with PDFs. I conclude by enhancing performance with OpenBLAS, significantly reducing inferencing time. Explore the power of LLaMA Server in a Docker container for transformative AI experiences! 🚀