What is AI Engine Manager?
AI Engine Manager (AIEM) is a core service of H2O AI Cloud that provides complete lifecycle management for AI Engines. It enables you to create, configure, monitor, and manage containerized Machine Learning workloads deployed on Kubernetes infrastructure.
Key Features
AIEM allows you to do the following:
- Manage different types of AI engines from a centrally managed unified interface
- Create, pause, resume, and delete AI engines easily
- Timeout configuration management to optimize the costs of operations at scale
- Organize engines within workspaces for better collaboration using admin settings
- Track all engine activities and changes for compliance using the audit trail systems
- Configure sandbox engine images and templates in AI Engine Settings to control development environments
- Git sync functionality for Notebook engines
Supported AI Engines
The available AI engines include the following:
- Driverless AI: Single-node automated machine learning platform
- H2O-3: Open-source machine learning platform for distributed computing
- Notebook: Interactive development environment with Jupyter notebooks
- Sandbox: Development environment for running custom code
Access Methods
- Web UI: User-friendly interface for creating and managing engines. See Access AI Engines to get started.
- Python Client: Programmatic access for integrations. See Python Client Installation and Python Examples for usage.
- REST API: Direct API access for custom applications. See REST API documentation.
Feedback
- Submit and view feedback for this page
- Send feedback about AI Engine Manager to cloud-feedback@h2o.ai