Overview

H2O AI Cloud is a Kubernetes-based AI platform designed to support the full lifecycle of AI model and application development—from creation and deployment to monitoring and governance. It integrates AutoML, no-code deep learning, MLOps, document intelligence, a feature store, a model hub, and an AI App Store within a secure, enterprise-grade environment. H2O AI Cloud supports cloud, hybrid, and on-premise deployments, serving data scientists, developers, MLOps and IT teams, and business users alike. It is compliant with SOC 2 Type 2 and HIPAA, offering scalability, transparency, and robust governance.

Features and Capabilities

• Comprehensive AutoML & Predictive AI
  • Built-in H2O Driverless AI and H2O-3 engines for rapid model development
  • Automated feature engineering
  • Hyperparameter tuning
  • Stacked ensemble modeling
• No-Code Deep Learning & Generative AI
  • Hydrogen Torch for deep learning model training
  • Document AI for document understanding and processing
  • h2oGPTe for generative text capabilities
  • LLM Studio and Eval Studio for large language model training and evaluation
  • Enables NLP and computer vision workflows with minimal coding
• MLOps and Model Lifecycle Management
  • Scalable deployment pipelines
  • Model monitoring and drift detection
  • Automated remediation pipelines
  • Model Hub for centralized model storage and access
  • Token servers and orchestration for secure operations
• Data & Feature Engineering
  • Centralized Feature Store
  • Feature ingestion and serving
  • Feature monitoring and versioning
  • Collaboration tools for team-based development
• AI App Store
  • Marketplace interface for AI application discovery
  • Supports both pre-built and internally developed applications
  • Simplified deployment of AI-powered solutions
• Hybrid & Scalable Infrastructure
  • Deployable across AWS, Google Cloud, Azure, on-prem Kubernetes, or VPC
  • SOC 2 Type 2 and HIPAA-compliant
  • Encryption of data in transit and at rest
• Developer & CLI Tooling
  • SDK support for Python, R, Java, and C++
  • Wave SDK for custom app development
  • Command-line tools and APIs for configuration and token management
• GPU & High-Performance Support
  • NVIDIA GPU acceleration via RAPIDS
  • Autoscaling across multi-node clusters
  • Integrated performance telemetry and monitoring
• Enterprise-Grade Governance & Security
  • Single Sign-On (SSO) integration
  • AWS PrivateLink support
  • Secure object and credential storage
  • Role-based access control for granular permission management