I am working on converting Python code for data cleaning and pre-processing which were earlier running in CPU, to be run with Nvidia GPU.
I am using NumbaPro to write Python code for GPU. But, even simple tasks like finding average is really complex to be converted with help of Numba.
I see a lot of Cuda libraries to be used with C Programming (like cuBLAS), but not a lot with Numba or Python.
Is there any libraries that will accelerate GPU development with Python apart from Numba. I know Tensorflow for GPU helps in training models, but I am looking more of data pre-processing libraries like Python and Numpy for GPU.