The way neural networks work is that each perceptron runs a linear equation of the form: w1x1 + w2x2...wnxn. Even if you train the model somewhere else, you sti

The way neural networks work is that each perceptron runs a linear equation of the form: w1x1 + w2x2...wnxn. Even if you train the model somewhere else, you still need to hold the weights locally in each perceptron in order to evaluate the model. This requires hardware in which you can multiply these huge matrices quickly, even if the weights are downloaded from the cloud.