Local AI

Self-hosted AI automation pipelines and local language models for privacy, cost reduction, and enhanced performance.

How to Build a Self-Hosted AI Automation Pipeline with Docker, n8n, Ollama, and Telegram

AI Advances • Sep 15, 2025 • 13 min read

Complete guide to building a self-hosted AI automation pipeline using Docker, n8n workflows, Ollama for local LLMs, and Telegram for notifications. This comprehensive tutorial walks through setting up a complete infrastructure for running AI automation entirely on your own hardware, ensuring data privacy and eliminating API costs.

OpenAI on your desk: Why Moving to Local Models

AI Advances • Aug 8, 2025 • 7 min read

How to Shift Projects in a Rapidly Evolving Environment - exploring the benefits and practical considerations of running large language models locally. This article discusses the strategic decision to move from cloud-based AI services to self-hosted solutions, covering performance comparisons, cost analysis, and implementation strategies for local AI deployment.