Why Apple Silicon's unified memory lets M-series Macs run large language models cheaper than discrete GPUs

A deep dive into how unified memory architecture on Apple's Mini PCs enables them to run 70B parameter models that discrete GPUs struggle with, despite lower raw compute. The trade-off: speed. This matters for indie makers running local LLMs on a budget, but understanding the performance ceiling is critical before betting your inference workload on it.