ONNX Launch Success Does Not Confirm GPU Acceleration, Experts Warn

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A working ONNX application with correct-looking output does not prove the model ran on a GPU, since the inference runtime may fall back to other execution providers. Unsupported graph operations can run elsewhere, or a requested provider may fail to initialize without obvious signs. The guidance urges developers to record their hardware, drivers, and runtime settings and to confirm that the intended backend is actually active. It also recommends measuring warm and cold runs, checking memory and utilization, and verifying output quality alongside speed. Finally, it notes that inference is often only one part of end-to-end pipeline time, and that VRAM alone is a poor predictor of performance.

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