Unified Memory for AI 1 story

Unified Memory for AI is where AI Hardware & Local Inference coverage narrows to configuration, interoperability, and expected behavior of this specific layer. Coverage uses shared CPU GPU memory AI, unified memory architecture, AI model unified memory, and shared memory local LLM to explain function, setup, support boundaries, and interactions with the rest of the platform. This keeps Unified Memory for AI narrower than AI Hardware & Local Inference as a whole while giving readers enough context to make configuration or compatibility decisions and recognize when a problem-specific tag is more appropriate.