With temperature set to zero, they are deterministic if inference is implemented with deterministic calculations.

Only when you turn the temperature up they become probabilistic for a given input in that case. If you take shortcuts in implementing the inference, then sure, rounding errors may accumulate and prevent that, but that is not an issue with the models but with your choice of how to implement the inference.