H2O AI Managed Cloud: The Admin Console Explained
- H2O AI Managed Cloud
- H2O MLOps
This lesson walks through the platform wide view available to administrators of H2O AI Managed Cloud, who see every engine, app, and instance across all workspaces rather than just their own. It covers the admin views for AI Engines, Apps, App Instances, Secrets, and OAuth clients, then moves into the H2O MLOps admin dashboard for deployments, models, and runtimes, and the identity and access management section for users and roles. The lesson closes on AI Unit reporting and the July 2026 resource blocking threshold, an opt in feature that caps new resource creation at a contract limit without disrupting running work.
Key takeaways
- How the admin console gives platform wide visibility into every engine, app, and instance, not just an admin's own
- What the H2O MLOps admin dashboard shows across single model, AB test, and champion challenger deployments
- Why the resource blocking threshold introduced in July 2026 is entirely opt in for administrators
- How AI Unit reporting breaks down platform consumption cumulatively and hourly by workspace
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