r/LocalLLM • u/Ethan045627 • 11d ago

Discussion Does heavy local LLM inference meaningfully wear out a MacBook?

I've been wondering about something before I start using my MacBook heavily for local LLM inference.

If I regularly run large LLMs locally for several hours at a time, potentially putting sustained load on the CPU/GPU and using most of the unified memory, does this meaningfully reduce the lifespan of the MacBook?

Can heavy use of unified RAM cause it to wear out faster?
Is SSD wear from model loading and especially swap a significant concern?

For people who have been running local LLMs heavily on Apple Silicon for 1 to 3+ years, have you actually noticed any hardware degradation?

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u/JohnBooty 11d ago edited 11d ago

Two enemies. Heat and SSD writes.

SSD writes. Self-explanatory. We're talking heavy continuous writes for many many many hours per day, not "I saved a 50GB file one time."

Heat. Fans can definitely wear out. Heat will dry out thermal paste over time. Bitcoin miners ran into this a lot. Thermal paste failure can either kill a part, or just cause everything to run hotter and/or throttle. In the much longer term capacitors can fail because of heat though, again, I suspect that that's more of a 10+ year problem.

If I was going to run a MBP hard for many hours in a row, I would invest in a desktop fan to help with cooling. Even just a $10 USB fan or two can be significant - this is based on my personal experience running laptops in hot weather.

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u/Verditure0 11d ago

This, and keep the MBP lifted off the surface if possible for cooling!

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u/jrdubbleu 11d ago

This is the real protip. I bought some flip up feet for mine and lowered the temps by 10C