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    H2O on Ubuntu 22.04LTS with maintenance support by Apps4Rent

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    AWS Free Tier
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
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    H2O on Ubuntu 22.04LTS with maintenance support by Apps4Rent

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    Overview

    This is a repackaged open-source software product where in additional charges apply for technical support and maintenance by Apps4Rent

    In this product H2O is installed using the Python. H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data. H2Os core code is written in Java. Inside H2O, a Distributed Key/Value store is used to access and reference data, models, objects, etc., across all nodes and machines. The algorithms are implemented on top of H2Os distributed Map/Reduce framework and utilize the Java Fork/Join framework for multi-threading.

    Overall, H2O simplifies and accelerates the process of building, training, and deploying machine learning models. It is designed to handle large-scale data, promotes efficient parallel processing, and offers a rich set of algorithms and functionalities for data scientists and analysts.

    Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch.

    for more details do visit-https://www.apps4rent.com/managed-aws/ 

    Highlights

    • Apps4Rent provides H2O which is ready to use for Production Environment.
    • H2O simplifies and accelerates the process of building, training, and deploying machine learning models.
    • The algorithms are implemented on top of H2Os distributed Map/Reduce framework and utilize the Java Fork/Join framework for multi-threading. for more details do visit-https://www.apps4rent.com/managed-aws/

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 22.04LTS

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.medium) in the US East (N. Virginia) Region. View pricing details

    $0.146/hour

    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 on Ubuntu 22.04LTS with maintenance support by Apps4Rent

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (69)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t1.micro
    $0.10
    $0.02
    $0.12
    t2.nano
    $0.10
    $0.006
    $0.106
    t2.micro
    AWS Free Tier
    $0.10
    $0.012
    $0.112
    t2.small
    $0.10
    $0.023
    $0.123
    t2.medium
    Recommended
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t3.nano
    $0.10
    $0.005
    $0.105
    t3.micro
    AWS Free Tier
    $0.10
    $0.01
    $0.11
    t3.small
    $0.10
    $0.021
    $0.121
    t3.medium
    $0.10
    $0.042
    $0.142

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.

    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

     Info

    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

    *For Linux: *Connect to your Linux instance via port no. 22 using SSH. *Please refer this article: https://docs.thinkwithwp.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  *Sign-in credentials: Username: ubuntu

    This software does not store any sensitive customer information.

    This software does not require any type of data encryption configuration.

    programmatic system credentials and cryptographic keys are not required for this product.

    *For accesing H2O navigate to the directory : "cd h2o-3.42.0.3 " *Run a command to activate H2O : " java -jar h2o.jar " *To use H2O : " http://your-instance-ip:54321  ".

    *Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required for this product to function as expected. ii)We recommend keeping your crucial data in a custom made encrypted EBS to save from termination in future.

    for more please do visit -https://www.apps4rent.com/managed-aws/ 

    Support

    Vendor 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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