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Backed By H2O.ai
Open source and enterprise AI/ML platform for automated data mining and predictive analytics.
H2O.ai delivers an end-to-end AI cloud platform with industry-leading AutoML, deep learning, and generative AI capabilities. It supports rapid prototyping, feature engineering, model training, and deployment across cloud, on-premises, and hybrid environments. H2O.ai’s Driverless AI automates the data science workflow, while H2O Wave and H2O AppStore enable AI app development and sharing.
AutoML for model selection and tuning
Automated feature engineering
Regression, classification, time series, and generative models
Text, image, and code generation
Cloud, on-premises, and air-gapped deployment
Kubernetes scalability
Full H2O AI Cloud access
Full H2O AI Cloud access
Distributed in-memory ML platform
H2O AI Cloud (end-to-end platform)
H2O Driverless AI (AutoML with Automatic Feature Engineering)
h2oGPTe (Enterprise GenAI with cost controls and guardrails)
H2O LLM Studio (No-code LLM fine-tuning)
H2O MLOps (Model Deployment & Monitoring)
Real user experiences from across different platforms
Overall I had a very good experience working on H2O.ai, It is a boon to data scientists who used to spend most of their time writing codes. Now with help of h2o, data scientists can focus on building the best possible model.
Verified User
Aug 3, 2023
that require a comprehensive, governable, and secure AI platform.
nt and highly accurate AutoML.
pay-as-you-go service (unless using the free open-source H2O-3).
manage complex on-premise or cloud deployments.
Democratizing AI and accelerating the time-to-value of AI initiatives (10x faster model deployment) through a highly automated, scalable, and enterprise-grade platform that offers full control over data and models.
Complexity of the full suite may be overwhelming for new users. Requires significant data science expertise to fully leverage advanced customization features. Some users report that Python models built outside of H2O occasionally yield better metrics than Driverless AI's base model. Reported issues with deployment on certain public cloud infrastructures (e.g., GCP in the past).