Self-hosted AI applications can consume significant CPU, RAM, GPU memory, and disk space, especially when running large language models or handling multiple requests. Without proper monitoring, resource exhaustion can slow down inference, cause application crashes, and affect other services running on your server. This guide explains how to monitor resource usage for self-hosted AI applications
n8n is a workflow automation platform with a visual editor, hundreds of integrations, and built-in AI agent nodes. Self-hosting it on Rocky Linux 10 gives you unlimited executions, and your credentials and data stay on your own server. This guide sets up a production-style install using Docker, PostgreSQL, and Caddy for automatic HTTPS. It also
A model that works in a notebook is not a service yet. To deploy an AI API to a server, you need something that loads the model once, answers HTTP requests, restarts when it crashes, and sits behind a proper web server with HTTPS. This guide walks through that setup on Ubuntu 26.04 using Python,
A failed service, a full disk, or a server that suddenly cannot resolve a hostname usually comes with an error message that means little on its own. ChatGPT is good at turning that message into a short list of likely causes and the commands that confirm each one. It is not a replacement for knowing
Self-hosting AI means running the application yourself, on a server you control, instead of renting a seat in someone else’s product. A small Linux VPS can host a chat interface that works like ChatGPT, an automation tool that runs AI agents, and a full platform for building your own AI apps. Your chat history, documents,
OpenClaw, MoltBot, or Clawdbot is an action-oriented open-source AI assistant. Rather than just generating text, it functions as an agent capable of executing tasks directly within your browser or operating system. Consider it a layer that sits on top of your computer desktop, enabling it to see screen elements, navigate complex UIs, and perform clicks
Finding the best AI coding assistant depends on your workflow, hardware, and privacy requirements. For developers who want to keep source code on their own machines, an AI coding assistant for developers built around local models offers a practical alternative to cloud-based services. With AI coding assistant tools such as Ollama, Aider, and Continue, you
Cockpit is a free, browser-based admin console for Linux servers. It shows live CPU, memory, and disk graphs, manages services and storage, reads the system journal, and gives you a full terminal, all from port 9090. On Rocky Linux 10, it is usually installed already, which means the real work is not installing it. The
Most people shopping for a VPS to run a local AI model ask the wrong question first. They compare core counts and clock speeds, when the thing that actually decides whether a model runs well, runs badly, or refuses to run at all is memory. RAM sets the ceiling on which models you can load,
You cannot install ChatGPT itself on a server, since it is a closed product running on OpenAI’s own infrastructure. What you actually can do, and what a lot of people searching for this are really after, is run an open model behind a chat interface that looks and feels almost identical, sitting entirely on hardware