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This paper presents CourseChat, an on-premises multi-course RAG tutoring system for undergraduate business education, sharing six isolated courses across two edge AI hosts running Ollama-served local LLMs. Model bake-offs show that 8B/12B/7B models pass classroom speed gates while larger ones fail, supporting a hardware-software co-design approach rather than assuming bigger models are optimal.