Our comprehensive automated machine learning (autoML) capabilities transform how AI is created and consumed. We have built AI to do AI, making it easier and faster to use, while still maintaining expert levels of accuracy, speed and transparency.
Overview
Companies around the world are looking for AI solutions to increase revenue growth, optimize operations, mitigate risk and personalize customer experiences. Additionally, many are using AI technologies to drive research breakthroughs and uncover new opportunities for market disruption. Powered by world-class automated machine learning (autoML), the H2O AI Cloud is pivotal in driving such innovation efforts all the way from initial idea to real world impact.
Highlights
- Machine Learning, Data Science, AI
- Cloud, MLOps, DevOps
- Advanced Analytics, Data Analytics
Details
Features and programs
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 contract duration. You pay upfront or in installments according to your contract terms 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.
Dimension | Description | Cost/12 months |
|---|---|---|
H2O.AI Cloud Unit | $50,000/Unit - Minimum 4 AI Units | $200,000.00 |
Vendor refund policy
no refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
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
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.
H2O on Windows 2022 with maintenance support by Apps4Rent
By Apps4rent LLC
This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
H2O: predicts fraud and stops it in its tracks by Miri
By Miri Infotech
The H2O project aims to develop an analytical interface for cloud computing, providing users with intuitive tools for data analysis.
H2O on AWS Linux 5.10 with maintenance support by Apps4Rent
By Apps4rent LLC
This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
A multi-layer feedforward artificial neural network
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.
Leave a comment0 comments
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.