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    AWS Deep Learning Base AMI Ubuntu 18.04 32.0 with Support by Bansir

     Info
    Sold by: Bansir LLC 
    Free Trial
    AWS Free Tier
    This AMI has charges associated with it for seller support by Bansir, includes AWS Deep Learning Base AMI Ubuntu 18.04 32.0 and includes support by Bansir.
    Listing Thumbnail

    AWS Deep Learning Base AMI Ubuntu 18.04 32.0 with Support by Bansir

     Info
    Sold by: Bansir LLC 

    Overview

    This product has charges associated with it for seller support, includes AWS Deep Learning Base AMI Ubuntu 18.04 32.0 and includes support.

    AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For example, for machine learning developers contributing to open source deep learning framework enhancements, the AWS Deep Learning Base AMI provides a foundation for installing your custom configurations and forked repositories to test out new framework features.

    Below are the core components of AWS Deep Learning Base AMI:

    • AWS Deep Learning Tools including AWS Elastic Fabric Adapter(EFA) and AWS Neuron.
    • NVIDIA Deep Learning Softwares Including NVIDIA GPU Driver, CUDA Toolkit, cuDNN, NCCL, and Fabric Manager.
    • Containerization platforms including Docker, and NVIDIA-Docker for build and run GPU accelerated Docker containers.
    • Intel Architecture performance library Intel MKL-DNN.
    • A collection of popular tools such as awscli, boto3, numpy, scikit-learn, opencv, pandas, matplotlib, graphviz,

    Highlights

    • Based on Ubuntu Server 18.04 LTS
    • AWS Deep Learning Base AMI ships multiple CUDA Toolkits and can be easily switched. https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-base.html

    Details

    Delivery method

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

    Latest version

    Operating system
    Ubuntu Linux/Unix, 18.04

    Typical total price

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

    $0.386/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

    Free trial

    Try this product at no cost for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    AWS Deep Learning Base AMI Ubuntu 18.04 32.0 with Support by Bansir

     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 covering 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 (238)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.nano
    $0.05
    $0.006
    $0.056
    t2.micro
    AWS Free Tier
    $0.05
    $0.012
    $0.062
    t2.small
    $0.05
    $0.023
    $0.073
    t2.medium
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t2.xlarge
    Recommended
    $0.20
    $0.186
    $0.386
    t2.2xlarge
    $0.40
    $0.371
    $0.771
    t3.nano
    $0.05
    $0.005
    $0.055
    t3.micro
    AWS Free Tier
    $0.05
    $0.01
    $0.06
    t3.small
    $0.05
    $0.021
    $0.071

    Additional AWS infrastructure costs

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

    Vendor refund policy

    No refunds will be issued for usage of this product.

    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.

    Version release notes

    42.1-v2022

    Additional details

    Usage instructions

    Usage Instructions: For Ubuntu Cloud Guest it is suggested to manually configure your Security Group/Firewall settings. The 1-Click Security Group opens only port 22 so that you can access your instance via SSH using login 'ubuntu'. If you chose the 1-Click Security Group, you may change it later to enable applications using the AWS Console or API.

    For more information can you visit https://bansircloud.com  or Contactus support@bansircloud.com  Usage Instructions: Getting-started guide for AWS Deep Learning AMI: http://docs.aws.amazon.com/dlami/latest/devguide/gs.html 

    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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