In-depth guides on running LLMs locally. GPU reviews, model breakdowns, VRAM requirements, and performance benchmarks to help you build the perfect local AI setup.
The most asked question on r/LocalLLaMA, answered with real numbers. The 3090 is still shockingly competitive.
Getting 2 tok/s instead of 30? The real causes and real fixes — GPU offloading, context length, wrong engine.
Install Ollama, pick a model, add a web UI. The no-bullshit guide to running your first local LLM.
When local models beat cloud AI, when they don't, and how to decide. No ideology, just data.
The #1 question on r/LocalLLaMA answered with real benchmarks. Exact model picks for every VRAM tier, from GTX 1070 to RTX 4090.
How to deploy local LLMs for your company. Hardware costs, security compliance, GPU server builds, and ROI vs OpenAI API.
Apple Silicon unified memory vs dedicated VRAM — real tok/s comparisons, model compatibility, and which platform wins for each use case.
Step-by-step guide to building your own private ChatGPT clone. Ollama + Open WebUI + a good model = zero data leaving your machine.
Search and chat with your own files using 100% local AI. Embedding models, vector stores, and chunking strategies that actually work.
You don't need an RTX 4090. Here's what works on GTX 1060, 1070, 1080, RX 580 — with real model picks and settings.