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
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,
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,
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
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
The advent of artificial intelligence (AI) has revolutionized many industries, and software development is no exception. One of the most significant contributions of AI to the field of software development is the creation of GitHub Copilot, an AI-powered pair programmer that helps developers write code more efficiently and productively. GitHub Copilot is a tool that