I have an 8GB M1 mini in service as my Home Assistant server. 4GB to UTM to run HAOS, the rest for macOS and Ollama running a small LLM for speech to text. I’m genuinely amazed that it hasn’t fallen over. Tried the same thing in Asahi but without macOS’ memory management and access to GPU acceleration, it just wasn’t feasible.
I actually have no idea how it all works. It just does.
Asahi is incredible for general use computing on M1/2 machines, and perhaps even in use as a general purpose home server. But it’s still very much a fun exercise in what might be possible rather than a solid option, in my opinion.
I have an 8GB M1 mini in service as my Home Assistant server. 4GB to UTM to run HAOS, the rest for macOS and Ollama running a small LLM for speech to text. I’m genuinely amazed that it hasn’t fallen over. Tried the same thing in Asahi but without macOS’ memory management and access to GPU acceleration, it just wasn’t feasible.
Thank you for sharing this result. I knew Asahi’s memory management wasn’t as robust (so I got a 24GB RAM M2 unit to overcome this).
For your macOS Ollama implementation are you able to leverage the NPU in the hardware (which I know is also unavailable so far in Asahi)?
I actually have no idea how it all works. It just does.
Asahi is incredible for general use computing on M1/2 machines, and perhaps even in use as a general purpose home server. But it’s still very much a fun exercise in what might be possible rather than a solid option, in my opinion.