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ONNX on Different Hardware: Why a Successful Launch Doesn't Prove GPU Acceleration

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

An application starts, an ONNX model loads and the output looks correct. Does that prove the workload ran on the graphics card? No. A correct output is a functional result, not a performance diagnosis. This distinction matters when building local AI tools that are expected to work across CPUs and d…

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  1. 2026-10-29 15:00 · DEV Community — Machine Learning
    ONNX on Different Hardware: Why a Successful Launch Doesn't Prove GPU Acceleration

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