Introduction to GPU
GPUs are fast because they have high-bandwidth memories and hardware that performs floating-point arithmetic at significantly higher rates than conventional CPUs
Processing large blocks of data is basically what Machine Learning does, so GPUs come in handy for ML tasks. TensorFlow and Pytorch are examples of libraries that already make use of GPUs. Now with the RAPIDS suite of libraries, we can also manipulate data frames and runmachine learning algorithms on GPUs as well.