RAPIDS-cuDF: How To Speed Up Pandas in Python By 150x

This tutorial show how to deploy cuDF - GPU DataFrames on the AAU GPUs avalaible through UCloud.

"cuDF is a GPU DataFrame library for loading joining, aggregating, filtering, and otherwise manipulating data. cuDF leverages libcudf, a blazing-fast C++/CUDA dataframe library and the Apache Arrow columnar format to provide a GPU-accelerated pandas API."

It is suggested to watch the following youtube video showcasing the easy of use and increased performance for larger dataframe operation.

Installation and configuration of Rapids on AAU GPU machines are described in detail here.

Prerequisite reading:

• How to Generate SSH key

• Access VM using SSH

• Conda: for easy workflow deployment on AAU GPU VMs

• RAPIDS-cuML: Train your Scikit-learn models on AAU GPUs