About H2O.ai
H2O.ai provides open-source machine learning platforms. Build, deploy, and manage AI models at scale with AutoML capabilities and enterprise features.
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#open-source#automl#enterprise
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Free open source, Enterprise pricingVisit Trend
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H2O.ai Core Features
AutoML — Automated machine learning that trains and tunes multiple models, stacking them into a leaderboard to find the best performing model for your data.
Distributed In-Memory Computing — Utilizes distributed in-memory computing to handle large datasets and complex computations with high speed and scalability.
Model Interpretability — Provides tools like SHAP, LIME, and partial dependence plots to explain model predictions and ensure transparency.
Data Wrangling — Offers data manipulation and feature engineering capabilities to prepare data for modeling, including handling missing values and categorical encoding.
Model Deployment — Enables seamless deployment of models to production environments with options for batch scoring, real-time APIs, and integration with Kubernetes.
Enterprise Security — Includes role-based access control, SSL/TLS encryption, and integration with LDAP/AD for secure enterprise deployments.
Integration with Cloud and Big Data — Supports integration with major cloud providers (AWS, Azure, GCP) and big data platforms like Spark and Hadoop.
H2O.ai Subscription Plan
Open Source
Free
- Core H2O-3 and AutoML
- Community support
- Limited to single node
- No enterprise security features
Enterprise
Custom (check official pricing)
- All open source features
- Multi-node clustering
- Advanced security (RBAC, SSO)
- Support and maintenance
- Model deployment tools
- Driverless AI (optional)
