Summary

In this chapter, we examined the architecture and security underpinnings of H2O at Scale model-building technology. Such an examination provides architecture and security stakeholders a sound starting point to evaluate H2O against technical requirements and architecture principles that define enterprise systems. In general, H2O at Scale integrates and operates nicely in enterprise ecosystems and has a small software footprint in doing so. H2O also has extensive security capabilities that meet the high security demands of enterprises.

In the next chapter, we will take everything we have learned up to this point and place it in the larger context of H2O.ai's exciting new end-to-end machine learning platform called the H2O AI Cloud.