Why do Keras models behave differently on CPU vs GPU?

Differences arise due to floating-point precision, parallelism, and hardware-specific kernels.

GPU computations use parallel floating-point operations, which may introduce non-determinism. CPU operations are more deterministic but slower. This can lead to small numerical differences accumulating over time.