Local LLM Setup with Docker Containers

This guide describes my setup for running a local LLM using Docker containers. The model and the frontend UI run in separate containers, connected via a Docker network. Stack Overview: Final Architecture (Docker Version) Install Docker Run Docker without sudo:https://devopslog.pl/2026/05/06/using-docker-without-sudo/(A reboot is required after configuration.) Model Storag & Recommended Engine Best place for the latest

Local AI like ChatGPT via Docker Model Runner

The most powerful and convenient way to deploy AI with Docker is Docker Model Runner (DMR). High-level architecture and major components. Docker Model Runner – is a runtime process working outside the containers that provides models direct access to host hardware. OpenAI-compatible endpoints – the same API endpoints as the official OpenAI API uses. Provides

Docker and AI in Containers using Ollama

Real Use Case Using Docker as an environment and Ollama as a containerized application with a specific model, e.g. Phi-3. What is Ollama A tool that lets you run LLMs locally. It is often based on the llama.cpp engine.It handles: It runs as a server on port 11434. Ollama inside Docker Docker creates a container