Hands-on impressions using a Snapdragon X Elite laptop Local LLMs have exploded in popularity, and with new hardware like the Snapdragon X Elite , it’s finally practical to run powerful AI models entirely on your machine—fast, private, offline, and inexpensive. In this guide, I’ll walk you through three of the most popular tools for running local models: Ollama LM Studio Microsoft Foundry For each, I’ll cover: How to install it Minimum hardware requirements Rough model availability Pros and cons My personal performance testing results All tests were done on: 🧑💻 My Test Hardware Microsoft Surface Laptop, 7th Edition Component Details CPU Snapdragon X Elite (X1E80100), 12 cores @ 3.40 GHz RAM 32 GB OS Windows 11 Home, Build 26200 GPU / AI Acceleration DirectX 12 / NPU support Notes ARM-based architecture This hardware is extremely efficient for local inference—especially for optimized models. 1. Ollama ✔️ “The easiest way to run local LLM...