Sustained dense 72B inference on M5 Max 128GB how much does 14” vs 16” matter for thermal throttling under continuous load?

r/LocalLLaMA
Open Source AI

I’m considering the M5 Max 128GB 14” or 16 inch model for a workload that runs continuous inference on a dense 72B model (Qwen 2.5 72B Base, Q4_K_M, MLX) at 32K context. Not batch jobs. Not occasional prompts. Continuous 30-second cycle loop running for hours to days at a time. The burst benchmarks from another thread I found look great but those are 128 token generations. I need to know what happens after 2+ hours of sustained load on the 14” form factor. Specific questions: 1.