Uploaded April 2026 | Updated September 2026, 2 weeks ago
How H2O MLOps centralizes model governance with a version-controlled registry supporting both native and third-party models.
Managing a growing portfolio of production models requires a structured, searchable registry with full version history. H2O MLOps provides exactly that—capturing training metrics, validation scores, feature importance, and metadata tags for every registered model. Importantly, the platform is not restricted to H2O-native models: teams can import MLflow models complete with package dependencies, enabling unified deployment, monitoring, and governance across all ML assets from one platform.
Technical Capabilities & Resources
➤ Internal Model Repository: Register Driverless AI models with complete version history, scoring artifacts, and custom taxonomy tags.
🔗 docs.h2o.ai/mlops/models/understand-models
➤ Third-Party & MLflow Integration: Import and manage MLflow and external framework models alongside native H2O models.
🔗 docs.h2o.ai/mlops/models/mlflow-model-support
➤ Supported Third-Party Models: Review the full list of supported external model frameworks.
🔗 docs.h2o.ai/mlops/models/mlflow-model-support#supported-third-party-models
How H2O MLOps centralizes model governance with a version-controlled registry supporting both native and third-party models.
Managing a growing portfolio of production models requires a structured, searchable registry with full version history. H2O MLOps provides exactly that—capturing training metrics, validation scores, feature importance, and metadata tags for every registered model. Importantly, the platform is not restricted to H2O-native models: teams can import MLflow models complete with package dependencies, enabling unified deployment, monitoring, and governance across all ML assets from one platform.
Technical Capabilities & Resources
➤ Internal Model Repository: Register Driverless AI models with complete version history, scoring artifacts, and custom taxonomy tags.
🔗 docs.h2o.ai/mlops/models/understand-models
➤ Third-Party & MLflow Integration: Import and manage MLflow and external framework models alongside native H2O models.
🔗 docs.h2o.ai/mlops/models/mlflow-model-support
➤ Supported Third-Party Models: Review the full list of supported external model frameworks.
🔗 docs.h2o.ai/mlops/models/mlflow-model-support#supported-third-party-models
![[Webinar Recording] Return on Intelligence: How Government Agencies Are Unlocking Value with GenAI](https://i.ytimg.com/vi/hbeOnW7Xt1k/mqdefault.jpg "[Webinar Recording] Return on Intelligence: How Government Agencies Are Unlocking Value with GenAI
Generative AI is transforming how government agencies deliver on their mission—enhancing decision-making, streamlining services, and improving outcomes at scale. But as the technology accelerates, so does the urgency for public sector professionals to understand and apply it effectively.
In this exclusive panel hosted by H2O.ai and Carahsoft, top cybersecurity and AI leaders will share real-world examples of how secure, domain-specific GenAI is already powering critical government initiatives—from fraud prevention and public safety to document intelligence and operational efficiency.
Designed for federal, state, and local agency leaders and practitioners, this session goes beyond use cases. Attendees will gain a foundational understanding of how to integrate GenAI into their work—learning practical frameworks, strategy best practices, and the skills needed to stay relevant in a rapidly changing workforce.
Whether youre a CIO, CISO, program manager, policy analyst, IT director, procurement officer, or digital transformation lead this webinar recording will help you:
- Understand how GenAI is being safely deployed in high-stakes, regulated environments
- Learn the key building blocks of an effective public sector AI strategy
- Upskill in GenAI fluency to stay competitive and impactful in your role
Speakers:
Jeffrey Phelan, Public Sector Growth Lead at H2O.ai (moderator)
David Epperson, CISO at H2O.ai (panelist)
Shane Barney, CISO at Security Keeper, ex-USCIS (panelist)")
