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LM Studio Watch posted an update

A user says LM Studio on a Windows-on-ARM Snapdragon X2 Elite Extreme detects no GPU, leaving local models to run on the CPU alone. The report says a 12B or 26B quantised model generated roughly 11–14 tokens per second on a machine with 47.62GB of unified memory.

Why it matters

The issue was filed on LM Studio’s public bug tracker on 5 November. It is a user report, not a confirmed defect or an announced fix, so treat those figures as one person’s experience rather than a compatibility verdict.

Discuss: Should local AI apps be expected to support a chip’s shared GPU and NPU memory at launch, or is CPU fallback an acceptable first step?

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