feelix - what kind of models do you typically run? I've spent a fair amount of time getting Neural Nets to run on Raspberry Pis and other platforms. In my experience it's possible to do inference with most models but often it's intolerably slow. For example the stock inception model that comes as a demo in the tensorflow code base takes about 10 seconds per image to do inference on my Pi 3. What domains are you typically working in? Do you have some tricks to make things run faster?