H2O AI CLOUD

Core Platform Capabilities:

• Bring Your Own Identity (IdP): Seamlessly integrate your existing Identity Provider (IdP) for streamlined access management and single sign-on (SSO).
• SaaS Management: Streamline user and access management, workload management, enforce granular permissions, and monitor usage effortlessly.
• Secure AWS Connectivity: Connect your organization's AWS accounts securely using AWS PrivateLink, enabling low-latency, private connections between your cloud environment and H2O AI Cloud.
• End-to-End Encryption: Data at rest and in transit is fully encrypted to comply with enterprise security and privacy standards.
• Drive: Personal object store for secure, scalable data storage and sharing across H2O applications.
• Secure Store: A robust, centralized repository for managing user credentials and data securely.
• Orchestrator: Manage and schedule AI and ML workflows efficiently.
• Model Hub: Centralized repository for effective model lifecycle management.
• Notebooks: Unified workspace for managing Python, R, and Spark notebooks in one interface.
• Telemetry: Monitor and visualize platform, workflow and resource usage for better insights and operational efficiency.

Choose the Right Services for Your Use Case:

Every organization has unique challenges and goals when it comes to AI adoption. H2O AI Cloud offers a flexible suite of services, allowing you to select the right tools for your specific needs - whether you're building custom large language models, automating machine learning workflows, or deploying AI solutions at scale.

With a modular architecture and enterprise-grade capabilities, the platform adapts to your requirements.

Generative AI:

• Enterprise h2oGPTe: Enterprise LLM platform. Connect any LLM/embedding model, includes guardrails, summarization, cost controls, and customization options.
• H2O Eval Studio: Assess the performance, reliability, safety, and effectiveness of RAG and LLM-based applications.
• H2O LLM Studio: fine-tuning for custom enterprise-grade LLMs. Train scalable SLMs for cheaper, more efficient NLP use cases
• H2O Data Studio: Data preparation for LLM fine tuning, a no-code web application specifically designed to streamline and facilitate data curation, preparation, and augmentation for Large Language Models training and fine-tuning.
• H2O LLMOps: Operationalize, Deployment, Scalable Hosting, Continuous Monitoring, and Lifecycle Management.
• Industry leading H2O SLMs: H2O Danube3 and H2OVL Mississippi series are open weight SLMs for on-device and offline applications.

Predictive AI:

• H2O Driverless AI: Automated machine learning (AutomML) platform that simplifies model development.
• H2O-3 Secure: Distributed, scalable machine learning platform for building advanced analytics solutions.
• H2O Hydrogen Torch: No code Deep Learning.
• H2O Wave: Open source low-code AI AppDev Framework
• H2O Label Genie: AI-powered Data Labeling.
• H2O Document AI: Intelligent Document Models - Extracting Data with Intelligence.
• H2O MLOps: Operationalize, Deployment, Scalable Hosting, Continuous Monitoring, and Lifecycle Management.
• H2O AI AppStore: Industry and Use Case AI Apps.