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H2O Driverless AI
What H2O Driverless AI is
H2O Driverless AI automates feature engineering, model building, visualization, validation, tuning, selection, interpretation, and scoring-pipeline generation. It explains model behavior globally and at the level of individual predictions. Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Supported hardware includes NVIDIA GPUs, IBM Power 9, and Intel x86 CPUs, with GPU-accelerated XGBoost, TensorFlow, and LightGBM. Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data connectors include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. Cloud installation options are H2O AI Cloud, AWS, Azure, and Google Cloud. H2O offers a 21-day public-cloud evaluation license and a guided two-hour Aquarium Cloud test drive. Commercial licensing requires contacting sales. The default installation disables security, so production setup requires secure configuration.
Who it suits
Driverless AI is aimed at data scientists, DevOps and IT professionals, and business analysts. It suits teams needing automated modeling, explanations, and batch or real-time deployment options.
What it does well
- Automates feature engineering and model selection
- Explains global and individual predictions
- Deploys REST, cloud, or Java models
- Supports major cloud data connectors
- Offers a 21-day public-cloud evaluation
What to know first
- No free plan
- Commercial license requires contacting sales
- Default installation has security disabled
- Windows and macOS laptops suit only small exploratory datasets
Limits
The product has no free plan, and commercial licensing requires contacting sales. The public-cloud evaluation license lasts 21 days; the guided H2O Aquarium Cloud test drive lasts two hours. Windows and macOS laptops are intended only for small exploratory datasets.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| H2O Driverless AI | Commercial license required; contact sales for purchase information | On request |
As h2o.ai lists them, read 4 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the H2O Driverless AI website.
- Request the 21-day evaluation license for public-cloud use or use the two-hour H2O Aquarium Cloud test drive.
- Choose an available installation option: H2O AI Cloud, AWS, Azure, or Google Cloud.
- For downloads, use a listed Linux package, Windows 10 Pro Docker, or macOS Docker option.
- Configure a secure installation before production use.
- Contact sales for commercial licensing.
Verdict
H2O Driverless AI combines automated machine-learning workflows with explainability and several deployment formats. Teams should plan secure installation and review the platform’s hardware and exploratory-laptop limitations.
Questions
Is H2O Driverless AI free?
The pricing model is listed as free, but there is no free plan. A commercial license is required, and purchase information is available through sales.
Is there a trial?
H2O offers a 21-day evaluation license for public-cloud use and a guided two-hour H2O Aquarium Cloud test drive.
Which platforms and clouds are supported?
Platforms include API, Linux, macOS, self-hosted, web, and Windows. Cloud installation options include H2O AI Cloud, AWS, Azure, and Google Cloud.
How can models be deployed?
Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Deployment mode includes batch and real-time.
What integrations and data sources are documented?
Integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table.
What should I know about security and laptop installation?
Security is disabled in a default installation, and secure installation is recommended for production. Windows and macOS laptops are intended only for small exploratory datasets.
Facts from H2O Driverless AI's own pages
- Authentication
- Supported authentication methods include client certificate, LDAP, local, mTLS, OpenID, and PAM; unvalidated authentication is the default. · docs.h2o.ai, 4 Oct 2026
- Cloud availability
- Cloud installation options include H2O AI Cloud, AWS, Azure, and Google Cloud. · docs.h2o.ai, 4 Oct 2026
- Data connectors
- Documented data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. · docs.h2o.ai, 4 Oct 2026
- Deployment
- Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. · h2o.ai, 4 Oct 2026
- Explainability
- It provides explanations of model output at global and individual prediction levels. · h2o.ai, 4 Oct 2026
- Founded
- 2012 · h2o.ai, 28 Sept 2026
- Hardware and algorithms
- The product supports NVIDIA GPUs, IBM Power 9 and Intel x86 CPUs, and GPU accelerated algorithms including XGBoost, TensorFlow, and LightGBM. · h2o.ai, 4 Oct 2026
- Headquarters
- Mountain View, California, United States · h2o.ai, 28 Sept 2026
- Installation platforms
- The download documentation lists Linux packages, Windows 10 Pro Docker, and macOS Docker, and cautions that Windows and macOS laptops are intended only for small exploratory datasets. · docs.h2o.ai, 4 Oct 2026
- Integrations
- Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. · docs.h2o.ai, 4 Oct 2026
- Intended users
- H2O describes data scientists, DevOps and IT professionals, and business analysts as audiences for Driverless AI. · h2o.ai, 4 Oct 2026
- Model workflow
- It automates model validation, tuning, selection, interpretability, and scoring pipeline generation. · h2o.ai, 4 Oct 2026
- Security configuration
- The documentation warns that security is disabled in a default installation and recommends a secure installation for production. · docs.h2o.ai, 4 Oct 2026
- Trial
- H2O offers a 21-day evaluation license for public cloud use and a two-hour H2O Aquarium Cloud test drive with guided tutorials. · h2o.ai, 4 Oct 2026
- What it does
- Driverless AI automates feature engineering, model building, visualization, and interpretability. · docs.h2o.ai, 4 Oct 2026
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