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Automate Machine Learning with H2O Driverless AI on Dell Infrastructure
Introduction
Executive summary
Document purpose
Audience
Revision history The challenges of AI adoption Overview of AutoML and H2O Driverless AI Solution architecture for AutoML Invoking H2O Driverless AI from cnvrg.io MLOps Platform AutoML on an optimized Dell infrastructure Sizing of AutoML infrastructure Validated use cases for AutoML Dell Technologies services and support The Dell Technologies Customer Solutions Center Conclusion References Appendix A – Model serving in cnvrg.io

Document purpose

Home > AI Solutions > Artificial Intelligence > White Papers > Automate Machine Learning with H2O Driverless AI on Dell Infrastructure > Document purpose

Document purpose

  • This white paper discusses AutoML, including its benefits and the challenges of more traditional model development processes that it overcomes. The white paper provides an overview of the H2O Driverless AI product, presents a solution architecture for H2O Driverless AI built on the Dell Validated Design for AI with VMware, and describes several validated use cases using the solution. By deploying this solution, data scientists and IT professionals can move machine learning models out of the lab and into production faster and more easily, thus bringing a better return on investment (ROI) for an organization’s machine learning investments.