---
title: "Stop picking the wrong local LLM runner #localai #ollama"
source_url: https://youtube.com/shorts/Rp_RpJgb4I8
captured_at: 2026-09-07
author: "DIY Smart Code"
contributor: "ชิดชนก"
platform: youtube
---
# Stop picking the wrong local LLM runner #localai #ollama

youtube video by **DIY Smart Code**, 2m20s, uploaded 2026-08-24. URL: https://youtube.com/shorts/Rp_RpJgb4I8
Tags: ai, ai coding, artificial intelligence, self-hosted ai, local ai agent, offline ai, llm

## Shared in LINE Note+
- 2026-09-07 08:20 by ชิดชนก

## Description
Ollama vs LM Studio vs llama.cpp vs vLLM vs Lemonade Server - the five ways to run a local LLM on your own machine, with the real sites and apps on screen. llama.cpp is the engine that does the math. Ollama and LM Studio are the friendly wrappers around it. vLLM serves many people at once from datacenter GPUs. Lemonade Server sets up the right backend on an AMD PC, including the Ryzen AI NPU most tools never touch.

----
🚀 DYNAMOUS AI COMMUNITY

Want to learn agentic coding with live daily events and workshops?
Check out Dynamous AI: 
Get 10% off here 👉 

⚡ HOSTINGER — RELIABLE HOSTING FOR YOUR PROJECTS (10% OFF)

Whether you're shipping a portfolio, a side project, n8n flows, or AI agents — I use Hostinger for fast, affordable VPS + web hosting.

Get 10% off here 👉 

(Affiliate link — costs you nothing, supports the channel.)
----

What you will see in this 2-minute breakdown:

- The three words everything depends on: the GGUF model file (typically 4 to 30 GB for the 8B to 32B models most people run), quantization, and graphics card memory as the hard ceiling.
- llama.cpp: the C++ engine that reads the model file and does the math on your processor, your graphics card, or both. Wi