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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

Security

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Security

  • Enterprise Steam provides access control. Users can be created with different roles, and resources can be allocated to each user. H2O Driverless AI supports client certificate, LDAP, and other authentication options. These options can be configured by specifying the environment variables when starting the H2O Driverless AI Docker image or by specifying the appropriate options in the configuration file. See the H2O Driverless AI documentation for more information.