How to Monitor Resource Usage for Self-Hosted AI Applications
Self-hosted AI applications can consume significant CPU, RAM, GPU memory, and disk space, especially when running large language models or handling multiple requests.
Tutorials
Tutorials
How to Install and Self-Host n8n on Rocky Linux 10
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
Tutorials
How to Deploy an AI API with Python and Nginx on Ubuntu
A model that works in a notebook is not a service yet. To deploy an AI API to a server, you need something
Tutorials
How to Use ChatGPT to Troubleshoot Linux Server Errors: A Detailed Guide
A failed service, a full disk, or a server that suddenly cannot resolve a hostname usually comes with an error message that means
Tutorials
How to Self-Host AI Applications on a Linux VPS: A Step-by-Step Guide
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
Tutorials
What is OpenClaw AI Agent? A Deeper Look
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
Tutorials
How to Run an AI Coding Assistant on Linux: A Practical Guide
Finding the best AI coding assistant depends on your workflow, hardware, and privacy requirements. For developers who want to keep source code on
Tutorials
How to Install and Configure Cockpit on Rocky Linux 10: A Quick Guide
Cockpit is a free, browser-based admin console for Linux servers. It shows live CPU, memory, and disk graphs, manages services and storage, reads
Tutorials
How Much RAM and CPU You Really Need to Run AI Models on a VPS
Most people shopping for a VPS to run a local AI model ask the wrong question first. They compare core counts and clock
Tools
Running a Private ChatGPT Style Assistant on a VPS (Ollama + Open WebUI)
You cannot install ChatGPT itself on a server, since it is a closed product running on OpenAI’s own infrastructure. What you actually can