Ollama provides an easy way to run large language models locally on your own hardware. The guide covers installation on Linux, setting up GPU acceleration with NVIDIA cards, basic commands for model management, and integration with Python applications. It demonstrates running DeepSeek-R1 models, monitoring performance metrics, adjusting context windows, and creating custom models using Modelfiles with system prompts. Local deployment offers cost savings, privacy benefits, and the ability to experiment with models not available through public APIs.
Table of contents
AI: Introduction to Ollama for local LLM launchContentHardware.Installing OllamaOllama and systemd serviceBasic commandsRunning an LLM modelOllama monitoringOllama and PythonOllama and Roo CodeModelfile and building your own modelUseful linksSort: