Running Gemma 4 on decade-old hardware shows commoditized LLM inference

A maker successfully ran Google's Gemma 4 model on a 2016 Xeon processor, demonstrating that modern open LLMs no longer require cutting-edge silicon. This matters for indie developers building AI features on a budget—inference has gotten efficient enough that used enterprise hardware from the secondhand market becomes viable infrastructure.