Learn how to deploy Gemma 4 26B on legacy CPU hardware using quantization and optimization techniques for surprisingly effective AI inference.
Originally published on tamiz.pro.
Introduction
Large language models like Gemma 4 26B typically require powerful GPUs with high VRAM. This tutorial demonstrates how to run the model on a 13-year-old Xeon processor (e.g., Intel Xeon E5 v2 series) using CPU-only optimization techniques like model quantization and memory-efficient execution.
Prerequisites
Xeon-based server with at least 64GB RAM
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