Exploring examples of accelerators based on H2O Driverless AI integrations

This book thus far has focused on building models at scale using H2O. We have been doing this with H2O Core (often called H2O Open Source), a distributed ML framework that scales to massive datasets. We will see in Chapter 13, Introducing H2O AI Cloud, that H2O offers a broader set of capabilities represented by an end-to-end platform called H2O AI Cloud. One of these capabilities is a highly focused AI-based AutoML component called Driverless AI, and we will distinguish this from H2O Core in Chapter 13, Introducing H2O AI Cloud.  

Driverless AI is like H2O Core because it also generates ready-to-deploy MOJOs with a generic MOJO runtime and API, though for Driverless AI a license file is required for MOJO deployment, and the MOJO and runtime are named differently than for H2O Core.  

The reason for mentioning this here is that several integrations of Driverless AI have been built and...