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Cake day: June 3rd, 2023

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  • Not the person you responded to, but my m1 max macbook pro is used to dry run changes to my kubernetes cluster by running 4 virtual machines and networking them. My previous pc could pull it off fine, but my macbook can run a virtual cluster for hours on battery.

    Because of the unified memory, you can use all of your ram as video ram for the purposes of running a massive LLM if you want local AI. there’s a plugin I run for VScode that emulates github copilot but runs entirely on device and offline.

    Apple’s ARM implementation is really nice for getting a lot of specific work done. Mine spends most workdays docked and being used as my primary workstation.








  • Pretty much this for me too. Switched to iphone because I no longer wanted to tinker, switched my work laptop to apple silicon because the battery life and performance is stellar.

    Learned to be fine with mac os, do most things in terminal anyway. Will likely switch to asahi linux when it is stable enough that I don’t have to tinker, because tinkering gets in the way of actually getting things done in my situation.

    Also, being real: running LLMs on my mac is great. 128gb of unified memory basically means 120gb of vram. It’s absurdly expensive, but nothing quite like it exists in the market right now.