aiqbench analysis

This article focuses on the infrastructure and software stack required to deploy Small Language Models (SLMs) locally, addressing a core technical challenge in machine learning deployment. It details specific tools and architectures that enable efficient, privacy-preserving AI execution without relying solely on cloud infrastructure. The content is directly relevant to practitioners working on model optimization and local inference strategies.