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    H2O.ai Driverless AI Latest 2.0 (BYOL)

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    Sold by: H2O.ai 
    Deployed on AWS
    H2O Driverless AI brings Automatic Machine Learning for the enterprise.

    Overview

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    H2O's Driverless AI is an artificial intelligence (AI) platform that automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection, and model deployment. It aims to achieve highest predictive accuracy, comparable to expert data scientists, but in much shorter time thanks to end-to-end automation. Driverless AI also offers automatic visualizations and machine learning interpretability (MLI). Especially in regulated industries, model transparency and explanation are just as important as predictive performance.

    Highlights

    • Automatic Feature Engineering
    • Automatic Visualization
    • Machine Learning Interpretability

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS

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    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.
    Financing for AWS Marketplace purchases

    Pricing

    H2O.ai Driverless AI Latest 2.0 (BYOL)

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    Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    If you experience any issues or the product doesn't perform as expected, please reach out so we can assist you. If necessary, we'll happily provide a refund.

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    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.

    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    Point your browser to http:// [public IP address of the started instance] :12345

    Login username: "h2oai"

    Login password is the "InstanceID"

    For more details visit the DriverlessAI documentation: https://s3.amazonaws.com/artifacts.h2o.ai/releases/ai/h2o/dai/rel-2.2.1-6/index.html 


    For advanced users, if you need OS level and root access to the AMI EC2 instance when you launch the instance:

    • Configure EC2 for PEM key access

    • Configure the security group for SSH port 22 using TCP

    • To connect execute from a terminal ssh -i key_file.pem ubuntu@[accessible instance IP address]

    • Once on the instance, to gain root execute sudo -i

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    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.

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