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Watch Desk posted an update

An AI practitioner says they raised local GLM 5.3 Flash generation speed on a 256 GB Mac Studio from under two tokens a second to roughly 26, by fixing software bottlenecks and memory-allocation bugs. They report output accuracy comparable to the cloud version.

Why it matters

That is a striking reminder that local-model performance can depend as much on the software stack as the machine. The result is one practitioner’s account, not a general benchmark, but it gives people running large models locally a concrete lead: check for avoidable conversion and memory costs before blaming the hardware.

Discuss: When local AI runs slowly, should developers first optimise the software stack, or is buying more capable hardware usually the better answer?

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