Keep Ollama running on a MacBook

LidRun Team
6 min readJun 2026

Running a local model with Ollama can take a while, and a Mac that sleeps mid-run interrupts it. Here is how to keep Ollama running on a MacBook, even lid-closed, while safety thresholds decide when to stop.

Why Ollama runs get cut off

Ollama serves models locally, so it runs as a process on your Mac. When the Mac sleeps from idle or a closed lid, that process is suspended along with everything else.

A long generation or a model download stops where it was, and you come back to a session that stalled.

Keeping inference alive without straining the Mac

LidRun detects Ollama and holds the Mac awake while it runs, so you can close the lid and let a long generation or a model pull finish.

Local models are demanding on both memory and heat. A larger model can sit resident in RAM and keep the GPU busy, which is real sustained load, so battery and thermal thresholds gate the whole session.

If thermal pressure climbs or charge drops past your limits, LidRun lets the Mac sleep instead of pushing the hardware. The activity log records why a session ended, so a stalled overnight run is never a mystery in the morning.

When it is worth it, and when it is not

This earns its place for the long stuff: a big model download, a batch of generations, or a model server you want to leave running while you step away.

If you are chatting with a small model interactively, you do not need it, the Mac stays awake while you type. Quick one-off prompts finish before idle sleep would ever trigger.

But if you have left the lid open just so Ollama would keep serving while you were out of the room, that is the case LidRun is for, and it is worth trying for unattended local model runs.

A practical setup

Plug in, start your Ollama task, turn on keep-running mode, then close the lid and move on. Mains power matters here because a resident model draws steadily.

Keep the Mac on a hard, ventilated surface so the heat from sustained inference has somewhere to go.

Set a session timer that matches the run, so a model server you forgot about does not hold the Mac awake all night.

Try it instead of fighting clamshell sleep

LidRun keeps your work running with the lid closed, with battery and thermal safety built in.

Download for macOS

Frequently asked

Does LidRun detect Ollama automatically?

Yes. LidRun recognizes Ollama among many dev and AI tools and holds the Mac awake while it runs.

Local models run hot and use a lot of memory. Is that handled?

LidRun reads thermal state continuously and cooling profiles respond as load climbs, within what the hardware allows. It does not manage memory, but the thermal watch helps reduce risk on long runs.

Can I keep a model server running with the lid closed?

Yes, with keep-running mode on, as long as battery and thermal conditions stay within the thresholds you set. Plugged in is recommended for a resident model.

What happens if the run finishes early?

When the watched task ends, LidRun can release the keep-awake assertion so the Mac returns to normal sleep behavior instead of staying awake.

Keep Ollama Running on a MacBook