H2O Driverless AI
MLOps & Infrastructure
Overview
H2O Driverless AI by H2O.ai automates machine-learning workflows from data preprocessing through model deployment, with a focus on interpretability. It provides automated feature engineering, automated model selection, model-interpretability tools, and support for CPUs and GPUs in high-performance computing environments. H2O Driverless AI is designed for enterprises needing scalable, automated ML pipelines.
- Pricing model
- Enterprise / custom quote
- Deployment
- SaaS (vendor-hosted), Self-hosted / on-premises
- Regions served
- Global
- Categories
- MLOps & Infrastructure, Software & technology, Workflow orchestration, Self-hosted / on-premises, Predictive / classical ML, Functional application, SaaS (vendor-hosted), Enterprise / custom quote
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- h2o.ai
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
Spotted something out of date?
Anyone can suggest a correction — you don't need an account. An editor checks every suggestion against the sources before the record changes.