Budget-conscious developer demonstrates running a 35-billion parameter AI model locally on a $600 Mac Mini using swap memory.

A developer successfully runs Gemma 35B, a large language model, on an affordable Mac Mini computer

The setup leverages disk swap as virtual memory to compensate for the Mac Mini's limited RAM

This approach makes advanced AI capabilities accessible without expensive hardware or cloud subscription costs

The implementation suggests viability for local LLM deployment on consumer-grade machines by 2026