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This article argues that local-AI performance on Macs depends on memory bandwidth, not CPU cores, GPU cores, or the Neural Engine. Using a simple formula (bandwidth ÷ model size × efficiency), it shows a 2021 M1 Max outperforms a 2024 M4 base chip by over 3× on a 7B model. It recommends buying used Max-tier machines and highlights lineup quirks like the M3 Pro’s bandwidth regression.
VirtualBuddy runs macOS 12+ and ARM-based Linux virtual machines on Apple Silicon, automatically downloading or using custom IPSW/ISO images. It offers APFS-based snapshots, file and clipboard sharing, recovery mode, and beta device support via Xcode packages. You can customize hardware, save VM states, and build the app from source with Xcode 16.
The author swaps ChatGPT Plus, Cursor and Midjourney for local AI on a 14″ MacBook Pro M5 Max. Two setups failed; a third ran locally by day nine and convinced him to re-subscribe.
container is a Swift tool that runs OCI-compatible Linux containers as lightweight VMs on macOS 26 Apple Silicon. It lets you pull, build, push, and run standard container images, and provides scripts for install, upgrade, downgrade, and uninstall. The project uses the Containerization Swift package and is in active development with a stable API only within patch versions.
The author connects a 16 GB Mac Mini to a 64 GB MacBook Pro using LM Studio Link’s encrypted mesh VPN, offloading heavy model inference to the more powerful machine without exposing ports or tweaking firewalls. This setup lets you run large LLMs on low-RAM devices as if they were local, with no cloud or API key hassles.
Google’s Gemini macOS app runs on Apple Silicon and sits in your menu bar, ready with a global shortcut (Option + Space) for instant AI assistance. It can share your active window for context-aware answers, sync chat history across devices, and offers tools for image and video creation.