H2O AI and AWS
Organizations can buy H2O through AWS Marketplace with their AWS account, and charges appear on their AWS bill. H2O is listed in the Marketplace AI Agents and Tools category and in the AWS Marketplace for the U.S. Intelligence Community (ICMP) for classified workloads. The managed deployment connects to customer AWS accounts over AWS PrivateLink, with data encrypted at rest and in transit.
Partnership overview
Agentic AI on AWS Marketplace
Agentic AI that converges generative and predictive AI, available on AWS Marketplace. The H2O Sovereign AI Platform is a full-stack generative AI and machine learning platform built to speed up and scale your AI initiatives.
Buy with AWS
Purchase this listing from H2O in AWS Marketplace using your AWS account. AWS Marketplace launches pre-configured software in a few clicks. AWS handles billing and payments.
A fully managed SaaS platform
H2O AI Managed Cloud is an end-to-end SaaS AI platform. It is fully managed and cloud native, with the scalability, security and performance production workloads need.
You own every part of your AI stack: your data, your prompts and your models. You keep full control, privacy and security over your AI initiatives.
Core platform capabilities
- Bring your own identity (IdP). Integrate your existing identity provider for access management and single sign-on (SSO).
- SaaS management. Manage users, access and workloads, enforce granular permissions, and monitor usage.
- Secure AWS connectivity. Connect your AWS accounts to the platform over AWS PrivateLink for low-latency, private connections.
- End-to-end encryption. Data at rest and in transit is fully encrypted to meet enterprise security and privacy standards.
- Drive. A personal object store for secure, scalable data storage and sharing across H2O applications.
- Secure Store. A centralized repository for managing user credentials and data securely.
- Orchestrator. Manage and schedule AI and ML workflows.
- Model Hub. A centralized repository for model lifecycle management.
- Notebooks. One workspace for Python, R and Spark notebooks.
- Telemetry. Monitor and visualize platform, workflow and resource usage for better insight and operational efficiency.
Choose the right services for your use case
The platform offers a flexible suite of services, so you pick the tools for your needs: building custom large language models, automating machine learning workflows, or deploying AI at scale. Its modular architecture adapts to your requirements.
Predictive AI
- H2O Driverless AI: our automated machine learning (AutoML), which simplifies model development.
- H2O-3: distributed, scalable machine learning for building advanced analytics solutions.
- H2O Hydrogen Torch: no-code deep learning.
- H2O Wave: open-source, low-code AI app development framework.
- H2O Label Genie: AI-powered data labeling.
- H2O Document AI: intelligent document models that extract data.
- H2O MLOps: deployment, scalable hosting, continuous monitoring and lifecycle management.
- H2O AI AppStore: industry and use-case AI apps.
Generative AI
- Enterprise h2oGPTe: enterprise LLM platform. Connect any LLM or embedding model, with 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 LLMs. Train scalable small language models (SLMs) for cheaper, more efficient NLP use cases.
- H2O Data Studio: data preparation for LLM fine-tuning. A no-code web application for curating, preparing and augmenting data to train and fine-tune large language models.
- H2O LLMOps: deployment, scalable hosting, continuous monitoring and lifecycle management.
- H2O SLMs: H2O Danube3 and H2OVL Mississippi are open-weight SLM series for on-device and offline applications.