24:22Every Size Local AI In 24 Minutes
Tina Huang lines up every computer she owns, sorts it by memory class, and tries to run an AI model on every rung: a 32 kilobyte Arduino that fits nothing, an 8 megabyte ESP32-S3 running TinyStories, a Raspberry Pi 5 chaining Whisper, Qwen3 1.7B and Piper into a talking assistant, an iPhone 16 with the same 8 gigabytes that behaves nothing alike, a 32 gigabyte MacBook Pro, a 64 gigabyte Mac Studio, a 128 gigabyte AMD Ryzen AI Halo, and rented GPUs up to an eight way H100 node with 640 gigabytes. A restaurant kitchen analogy explains why capacity and bandwidth are separate questions, and a one line formula tells you exactly what fits on your own machine.