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Create a new Driverless AI Engine

This guide walks you through creating a new Driverless AI Engine via the H2O AI Cloud web interface.

What is Driverless AI?​

Driverless AI is an automated machine learning platform that provides:

  • Automation of the machine learning process
  • Feature creation and selection
  • Algorithm selection and hyperparameter tuning
  • Built-in explainability and model insights
  • Deployment and monitoring capabilities
  • Integration with h2oGPTe for advanced AI Agents capabilities
Learn More

For more information about Driverless AI capabilities, features, and use cases, see the official Driverless AI documentation.

Prerequisites​

Before creating a Driverless AI Engine, ensure you have:

  • Access to H2O AI Cloud web UI. See Access AI Engines for details.
  • Appropriate permissions allocated to your workspace. You need at least the DAI Engine User role (enginemanager-dai-engine-user) assigned in the target workspace. See RBAC roles and permissions for the full role breakdown and Engine profile security configuration for how administrators configure profiles and versions.
  • (Optional) Resource requirements: Driverless AI engines typically require significant computational resources. Consider your data size and model complexity when configuring resources.

Create a new Driverless AI Engine​

To set up a Driverless AI Engine using the H2O Cloud user interface, follow these steps:

Step 1: Navigate to Create AI Engine​

On the AI Engines page, click Create AI Engine.

create ai engine

Step 2: Select Engine Type​

On the Engine Selection tab, select Driverless AI.

select dai engine

Step 3: Configure Engine Details​

On the Create AI Engine > Select Engine > Engine Configuration page, provide the following information:

  1. Display Name: Enter a descriptive name for your Driverless AI engine.

  2. Engine ID: The system automatically generates a unique ID based on your display name. However, it is recommended to use a secure ID for your use case. Click the Edit (Pencil icon) icon to customize it.

  3. Profile: Select a Profile from the dropdown. The profile determines the allowed ranges for CPU, GPU, memory, storage, and timeout settings. For more information, see Driverless AI Engine profiles.

  4. Version: Select the Driverless AI version from the dropdown. The latest version is recommended unless you have specific requirements.

Engine Configuration - Display Name and ID settings

Display Name and Engine ID Guidelines

Display Name:

  • Can include special characters and alphanumeric characters
  • Character limit: 63 characters
  • Use a clear, descriptive name for easy identification

Engine ID:

  • Must start with lower case letter
  • Must end with lower case letter or digit
  • Can contain only lowercase letters, digits or dashes (-)
  • Min length: 1 char, Max length: 63 chars

Step 4: Configure Resources​

Configure the computational resources for your Driverless AI engine:

  1. CPU Units: Set the number of CPU units
  2. GPU Units: Configure GPU units if needed
  3. Memory: Allocate memory in GiB
  4. Storage: Set storage capacity in GiB
Important
  • The default values and range for CPU, GPU, Memory, and Storage are set by administrators. Contact your administrator or the H2O support team for more details.

Step 5: Configure Timeout Settings​

Expand the Timeout Configuration section to set:

  1. Max Idle Time (Hours): Set how long the engine can be idle before automatically pausing.
  2. Max Up Time (Hours): Set the maximum duration an engine can run before automatically pausing.
Timeout Best Practices
  • Set appropriate idle time based on your usage patterns
  • Consider cost optimization vs. convenience
  • Longer idle times reduce restart overhead but increase costs

Step 6: Advanced Configuration (Optional)​

Expand the Advanced Configuration (config.toml) section for advanced settings:

  1. Table View: Add configuration parameters using a user-friendly table interface
  2. Code View: Edit the configuration file directly in TOML format
Advanced Configuration

For detailed information about Driverless AI configuration options, see the DAI Config Documentation.

Step 7: Create the Engine​

  1. Review all your configuration settings.
  2. Click Create to create the Driverless AI engine.
  3. The engine will be provisioned and appear in your AI Engines list.

Create DAI Engine

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