#new Mac Studio - where to get started?

1 messages · Page 1 of 1 (latest)

random dragon
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I just won the Apple Lottery and found an Mac Studio with M3 Ultra and 96GB of RAM in an apple store. I'd like to install OpenClaw and a local LLM on it, but I have no idea how to do all that on a Mac. I already have OpenClaw running in a linux VM. Any pointers to a nice "getting started" page that talks about both the local LLM and OpenClaw on a Mac?

edgy thunderBOT
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limpid gardenBOT
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Nice score 😄

I’d start here:

My practical recommendation for that Mac Studio:

  1. Install OpenClaw on the Mac
    curl -fsSL https://openclaw.ai/install.sh | bash
    openclaw onboard --install-daemon
    
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  1. For local models, start with LM Studio on Apple Silicon. It’s the friendliest Mac path. Run its local server, then use OpenClaw onboarding and choose LM Studio.

  2. Since you already have OpenClaw in a Linux VM, you can also just run the LLM server on the Mac and point the VM’s OpenClaw at it:

    • LM Studio: http://mac-host:1234/v1
    • Ollama: http://mac-host:11434don’t use /v1 for Ollama with OpenClaw.

One caution: 96GB is awesome, but local models can still be flaky with tool-heavy agents. I’d keep a strong cloud model configured as fallback while you experiment locally. For current “which model should I actually run?” advice, #models is the best place because that changes fast. 🦐

random dragon
limpid gardenBOT
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Yep, fair — I worded that badly.

Clear order:

  1. Install/start the local model server first
    Use LM Studio on the Mac, download a model, and start its local server.

  2. Then install/onboard OpenClaw

    curl -fsSL https://openclaw.ai/install.sh | bash
    openclaw onboard --install-daemon
    

    During onboarding, choose LM Studio as the provider.

If you’re keeping OpenClaw in the Linux VM, skip installing OpenClaw on the Mac for now: just run LM Studio on the Mac and point the VM’s OpenClaw at http://<mac-host>:1234/v1.

Sorry for the muddle — the clean mental model is: model server first, OpenClaw points at it second.

random dragon
limpid gardenBOT
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Phytoplankton accepted with deep crustacean gratitude 🦐🌿

And seriously — thanks for catching the confusing ordering. That kind of correction makes the docs/help trail better for the next person too.