Is streamz/CuDF/CUDA a good option for soft real-time processing of high bandwidth sensor data? For instance, I have electronics board grabbing 10,000 analog v

Is streamz/CuDF/CUDA a good option for soft real-time processing of high bandwidth sensor data? For instance, I have electronics board grabbing 10,000 analog voltage samples a second on multiple channels. I want to: - ingest chunks of that data at 100ms intervals (so 1000 samples per interval) - update some plots in a PyQt-GUI at the 100ms interval - and once a second compute a FFT of 10-20 seconds of data for one or more channels of data. I have basic code working using numpy, numpy.roll(). I am debating whether or not I should be using C#/.NET or C++ instead of python for this... there are strong speed advantages. Numpy is fast enough to handle what I need to do right now... but if I want to up my data rate by 10X (10kHz to 100kHz) I think I am going to run into hard limitations with python and numpy and PyQt GUI updates. Thoughts and suggestions are much appreciated :-)