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Automate Machine Learning with H2O Driverless AI on Dell Infrastructure
Introduction Revision history The challenges of AI adoption Overview of AutoML and H2O Driverless AI Solution architecture for AutoML
Solution architecture for AutoML
Kubernetes-based deployment using Enterprise Steam
Docker image
Security
GPU support
Storage and network configuration
Licensing
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

Solution architecture for AutoML

Home > AI Solutions > Artificial Intelligence > White Papers > Automate Machine Learning with H2O Driverless AI on Dell Infrastructure > Solution architecture for AutoML

Solution architecture for AutoML

  • H2O Driverless AI provides an enterprise-ready AutoML product for data scientists and machine learning engineers to develop and publish AI applications. It can be deployed either in Kubernetes as pods or as a stand-alone container.