Legacy Xeon CPUs Can Power Modern Language Models Without GPUs

This challenges the conventional assumption that GPU acceleration is necessary for large language model deployment. By optimizing for memory bandwidth—the actual bottleneck in LLM inference rather than raw compute power—even decade-old server CPUs like the Xeon can efficiently run modern models such as Gemma 4, enabling cost-effective AI adoption for organizations with existing server infrastructure.