Mac vs. Nvidia debate heats up for local LLM users

This is a question post, not a product announcement — but it captures a real shift in the local LLM hardware conversation that's worth tracking.

• –Apple Silicon's unified memory architecture is increasingly competitive for inference at 64–128GB RAM, especially as quantized models improve
• –The Blackwell Pro 6000 targets serious compute workloads but carries a steep price premium that's harder to justify as Apple's ecosystem matures
• –The poster's framing — that local LLM productivity is approaching $60–80K/year developer value — reflects growing mainstream confidence in local inference
• –Recent model improvements (smaller, faster, smarter quantized weights) are the real driver of this debate resurfacing now