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Llama.cpp: The ‘Secret’ to Running LLMs Smoothly on CPUs, Even With Low RAM

By admin April 8, 2026

No more 'Out of VRAM' errors! A detailed guide on using llama.cpp Quantization to run AI models like Llama 3 smoothly on CPU and RAM, perfect for low-spec PCs.

Artificial Intelligence tutorial - IT technology blog

Deploying AI Models on Your Own Server: Self-Hosting to Protect Sensitive Data

By admin March 7, 2026

A guide to self-hosting AI models (llama.cpp, vLLM) on your own server to protect sensitive data and avoid legal risks associated with cloud AI. Covers security configuration with Nginx reverse proxy, firewall rules, Docker Compose, and Python integration.

Running LLMs Locally with Ollama: Comparing Approaches and a Practical Deployment Guide

By admin February 28, 2026

A guide to running LLMs locally with Ollama: comparing Ollama, llama.cpp, and LM Studio to pick the right approach, installing on Linux/macOS, running Mistral and Llama models, integrating the OpenAI-compatible REST API, and tips for setting up a shared server for your team.