In this tutorial we will cover:

• Introduction to cuDF, cuML and more that showcases a simple example of data processing and model training on GPUs.
• Answers to questions like: “Where do I get a GPU?”, “How do I run a container on a VM with a GPU?”, “How do I install GPU packages into an existing environment?”, as well as follow along examples to get a GPU up and running.
• Troubleshooting and monitoring: Examples of performance analysis, diagnostics, and debugging.

This is a hands-on tutorial, with multiple examples to get familiarized with the RAPIDS ecosystem. Participants should ideally have some experience using Python, pandas and sci-kit learn. We'll use cloud-based VMs, so familiarity with the cloud and resource creation is helpful but not required. No prior GPU knowledge is needed.