Sold by: H2O.ai
Deployed on AWS
H2O.ai provides complete AI convergence across Predictive AI, Generative AI, and Agentic AI, offering a comprehensive AI tech stack that empowers you to build and secure your own AI workflows and solutions.
Our end-to-end SaaS AI platform is a fully managed cloud-native solution, delivering seamless scalability, robust security, and enterprise-grade performance. With H2O AI Cloud, you own every part of your AI stack - your data, your prompts, and your models - ensuring full control, privacy, and security over your AI initiatives.
4.6
Overview
H2O AI Cloud is an advanced AI and machine learning platform designed to accelerate and scale your AI initiatives with trust, transparency, and flexibility
Leverage H2O.ai's Generative AI and Predictive AI solutions to drive impactful outcomes across your organization - enabling discrete reasoning and decision-making, streamlining workflows, and unlocking data-driven innovation.
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: 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.
Highlights
- Predictive AI, Generative AI, Machine Learning, Data Science
- Agentic AI, Driverless AI, H2O-3, MLOps, LLMOps, Notebooks, Danube, Mississippi, LLM Studio, HydrogenTorch, h2oGPTe, LLM, SVLM, SaaS
- Advanced Analytics, Data Analytics, Cloud, MLOps, DevOps, AI Ops, LLM Ops
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Trust Center
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
H2O AI Enterprise Starter 8 GPUs with Professional Services | $720,000 | $720,000.00 |
H2O AI Enterprise Per GPU Pricing for deployments of 1 to 64 GPUs | $225,000/Unit | $225,000.00 |
H2O AI Enterprise Per GPU Pricing for deployments of 65 to 128 GPUs | $180,000/Unit | $180,000.00 |
H2O AI Enterprise Per GPU Pricing for deployments of 129 or more GPUs | $170,000/Unit | $170,000.00 |
Dimensions summary
This listing bills as a contract based on GPU count. Three per-GPU tiers set your rate by deployment size: 1 to 64 GPUs, 65 to 128 GPUs, and 129 or more GPUs. The per-GPU rate steps down as your deployment moves into a higher GPU-count range, so larger deployments carry a different unit price. A separate bundle covers 8 GPUs and includes professional services, giving you a fixed package rather than a per-GPU count. You choose the option that matches your GPU needs and whether you want professional services included.
Top-of-mind questions for buyers
Each GPU in your deployment counts as one billable unit. Your total GPU count determines which per-GPU rate applies. The platform supports all GPU types, and runs on commodity hardware, even a single 24GB GPU, so you count physical GPU devices allocated to the platform.
Each per-GPU tier is defined by a deployment-size range: 1 to 64, 65 to 128, and 129 or more GPUs. The rate you land in is tied to your total deployment size. Confirm with the vendor whether the rate applies across all GPUs or only those above each threshold.
The starter bundle is a fixed package covering 8 GPUs plus professional services. You pay one set price rather than a per-GPU rate. The per-GPU options bill by your GPU count without bundled services. Choose the starter if you want implementation help included; choose per-GPU if you want to size the deployment yourself.
www.h2o.ai
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no refunds
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Buyers of H2O AI Cloud can expect world-class support from H2O.ai to ensure a seamless experience with our platform.
Email Support:
- General Support: support@h2o.ai
Support Web Portals:
In-Platform Support: From within the H2O AI Cloud Platform, users can easily create support and help requests through the built-in support form, ensuring direct access to our team.
Support Levels: Our support services include:
- Timely Issue Resolution: Assistance with technical issues, configuration, and troubleshooting.
- Product Guidance: Help with platform features, integration, and optimization.
- Customer Success Support: Proactive engagement to maximize value from your AI initiatives.
We are committed to delivering reliable and responsive support to help you achieve success with H2O AI Cloud.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
This product has charges associated with it for seller support. H2O 3.46.0.11 with NumPy and Pandas provides a complete machine learning and data analytics stack where Pandas enables data preparation and analysis, NumPy delivers high-performance numerical computing, and H2O offers scalable machine learning and AutoML capabilities for building and deploying predictive models.
H2O.ai provides a comprehensive, end-to-end AI toolchain that empowers you to build your own AI platform. Our GenAI platform is designed for air-gapped environments, on-premises infrastructures, or cloud VPC deployments. With H2O.ai, you own every part of the stack—your data, your prompts, and your AI models—you have complete control and security over your AI initiatives.
A multi-layer feedforward artificial neural network
Implementation of H2O.ai's AutoML Algorithm from H2O-3 Library
H2O Driverless AI brings Automatic Machine Learning for the enterprise.
Customer reviews
Oil & Energy
Good Automl software
Reviewed on Dec 16, 2021
Review provided by G2
What do you like best about the product?
The web front end known as flow is really easy to use. It can be use to quickly create machine learning models.
What do you dislike about the product?
The complex machine learning model overfit the data. This is especially true when the data set is small.
What problems is the product solving and how is that benefiting you?
Trying to forecast prices using the regression models. It's very quick to test out new models.
Marc S.
Excellent framework and application
Reviewed on Jan 19, 2021
Review provided by G2
What do you like best about the product?
Excellent support for commercial product Driverless AI. Rapid iteration. Performance is generally better than one can be achieved in code.
What do you dislike about the product?
Actually nothing. The combination of proprietary and open source tools, Driverless AI and H2O, provide tools across a full range of use cases.
What problems is the product solving and how is that benefiting you?
We work in both financial services and biological research.
Recommendations to others considering the product:
Take advantage of the 30 day trial.
Renzo S.
Workflows for quick ML prototyping
Reviewed on Nov 16, 2020
Review provided by G2
What do you like best about the product?
They developed top-quality open source tools, including the H2O-3 and AutoML families. I do not have a license for their Driverless AI, but my experience with it through tutorials and other demos has been superb. I should mention that their efforts to develop frameworks for ML interpretability are spot on, and their learning center is shaping up as a valuable resource to the community in general. The interfaces with R and Python enable a smooth transition of pre-existing workflows into the H2O framework.
What do you dislike about the product?
Somewhat cryptic debugging msgs in H2O-3. They support specific packages for manipulating data (data.table in R, datataable in Python) for the sake of speed and big data maneuverability, although many users may find this limiting. Driverless AI may not be affordable to the small fish in the pond.
What problems is the product solving and how is that benefiting you?
I have mostly used their AutoML to build quick ML/AI prototype solutions in different domains.
Recommendations to others considering the product:
One should leverage all the resources available to test their products before buying.
Jiook C.
h2o is my personal data scientist
Reviewed on Nov 13, 2020
Review provided by G2
What do you like best about the product?
h2o offers a well validated, fully automated, rigorous machine learning pipeline including state of the art model interpretation allowing for prediction and inferences.
What do you dislike about the product?
i have nothing dislike about h2o's products.
What problems is the product solving and how is that benefiting you?
my scientific questions involve biomedicine, neuroscience, and psychology
Research
Accessible ML
Reviewed on Sep 22, 2020
Review provided by G2
What do you like best about the product?
Clean interface through Driverless AI and variety of analyses
What do you dislike about the product?
Better instructions would be helpful, as would clearer tutorials
What problems is the product solving and how is that benefiting you?
Need for adaptable ML analyses. Plug and play.