Inference
Apple unified memory limits with PyTorch - Printable Version

+- Inference (https://www.datasculpting.ai/inference)
+-- Forum: Drivers / Frameworks / Toolkits (https://www.datasculpting.ai/inference/forumdisplay.php?fid=8)
+--- Forum: Apple / MLX (https://www.datasculpting.ai/inference/forumdisplay.php?fid=33)
+--- Thread: Apple unified memory limits with PyTorch (/showthread.php?tid=1108)



Apple unified memory limits with PyTorch - sanescope - 10-12-2026

Posting this in case it saves someone else a little time.

If you were starting from scratch today for this use case, what would you choose first and what would you ignore?

I'm especially interested in mistakes worth avoiding.


Re: Apple unified memory limits with PyTorch - turboyard94 - 10-12-2026

I'd start with the simpler stack.


Re: Apple unified memory limits with PyTorch - dockridge - 10-12-2026

Ran a quick check on my box. The issue went away once I changed one setting and restarted the stack cleanly.