Learn to deploy your own local LLM service using Docker containers for maximum security and control, whether you're running on CPU, NVIDIA GPU or AMD GPU.
Dozzle is a lightweight, self-hosted solution that provides a real-time look into your container logs, offering an intuitive UI, real-time logging, intelligent search, and support for multiple use cases like home labs and local development.
Docker is making it easier for developers to run and test AI Large Language Models (LLMs) on their PCs with the launch of Docker Model Runner, a new beta feature in Docker Desktop 4.40 for Apple silicon-powered Macs. It also integrates the Model Context Protocol (MCP) for streamlined connections between AI agents and data sources.
Docker offers various logging drivers that dictate the storage location and format of log messages. These include json-file, syslog, journald, fluentd, awslogs, gelf, logentries, and splunk.
