Deep Learning AMI with Source Code (CUDA 9, Amazon Linux)

The Deep Learning AMI is a base Amazon Linux image provided by Amazon Web Services for use on Amazon Elastic Compute Cloud (Amazon EC2). It is configured with NVidia CUDA 9, cuDNN 7, NCCL 2.0 and NVidia Driver 384.81. The AMI also has MXNet, Caffe2 and TensorFlow. The AMI is specially designed to provide high performance execution environment for deep learning on EC2 P3 instances. Last but not the least, it also includes Anaconda Data Science Platform for Python2 and Python3. The Deep Learning AMI is provided at no additional charge to Amazon EC2 users.The AMI Ids for the Deep Learning CUDA 9 Amazon Linux AMI are the following:ami-4716b23d US East N. Virginia ami-ee86aa8b US East Ohio ami-aa19d6d2 US West Oregon ami-f8e54081 EU Ireland ami-0eb9566c Asia Pacific Sydney ami-c08223a6 Asia Pacific Seoul ami-c53a9fab Asia Pacific Tokyo Release tags/Branches used:MXNet 0.12 Release CandidateCaffe2 0.8.1TensorFlow [master with enhancements for CUDA 9 support]Check the AMI release notes for more details: http://docs.aws.amazon.com/dlami/latest/devguide/appendix-ami-release-notes.html


    Customer Rating

    (2 Customer Reviews)
    2 reviews
    5 star:

    (0)
    4 star:

    (2)
    3 star:

    (0)
    2 star:

    (0)
    1 star:

    (0)

    Latest Version

    1.0


    Operating System

    Linux/Unix, Amazon Linux 2017.09


    Delivery Method

    64-bit Amazon Machine Image (AMI) (Read more)



    AWS Services Required

    Amazon EC2, Amazon EBS


    Highlights

    • Used Amazon Linux 2017.09 (ami-8c1be5f6) as the base AMI with CUDA 9, cuDNN 7, NCCL 2.0.5 and NVidia Driver 384.81.
    • Designed for providing a stable, secure and high performance execution environment for running deep learning applications on the new EC2 P3 instances
    • Has MXNet 0.12 RC, Caffe 0.8.1 and TensorFlow [master with enhancements for CUDA 9 support]

    Product Description

    The Deep Learning AMI is a base Amazon Linux image provided by Amazon Web Services for use on Amazon Elastic Compute Cloud (Amazon EC2). It is configured with NVidia CUDA 9, cuDNN 7, NCCL 2.0 and NVidia Driver 384.81. The AMI also has MXNet, Caffe2 and TensorFlow. The AMI is specially designed to provide high performance execution environment for deep learning on EC2 P3 instances. Last but not the least, it also includes Anaconda Data Science Platform for Python2 and Python3. The Deep Learning AMI is provided at no additional charge to Amazon EC2 users.

    The AMI Ids for the Deep Learning CUDA 9 Amazon Linux AMI are the following:
    ami-4716b23d US East N. Virginia
    ami-ee86aa8b US East Ohio
    ami-aa19d6d2 US West Oregon
    ami-f8e54081 EU Ireland
    ami-0eb9566c Asia Pacific Sydney
    ami-c08223a6 Asia Pacific Seoul
    ami-c53a9fab Asia Pacific Tokyo

    Release tags/Branches used:
    MXNet 0.12 Release Candidate
    Caffe2 0.8.1
    TensorFlow [master with enhancements for CUDA 9 support]

    Check the AMI release notes for more details: http://docs.aws.amazon.com/dlami/latest/devguide/appendix-ami-release-notes.html

    Product Details

    • Version: 1.0
    • Available on AWS Marketplace Since: 10/25/2017

    Usage Instructions

    To connect to the operating system, use SSH and the username ec2-user You can find additional information in the README. /home/ec2-user/src/README.md

    Support Details

    Deep Learning AMI with Source Code (CUDA 9, Amazon Linux)

    Support is available through forums, technical FAQs and the Service Help Dashboard. Paid support is available.

    https://forums.aws.amazon.com/forum.jspa?forumID=30

    AWS Infrastructure

    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. Learn more

    Refund Policy

    We do not currently support refunds, but you can cancel at any time.

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA).

    Continue

    You will have an opportunity to review your order before launching or being charged.

    Pricing Information

    Use the Region dropdown selector to see software and infrastructure pricing information for the chosen AWS region.

    For Region

    Additional Taxes May Apply
     

    Pricing Details

    Software pricing is based on your chosen options, such as subscription term and AWS region. Infrastructure prices are estimates only. Final prices will be calculated according to actual usage and reflected on your monthly report.
    Software Pricing
    The data below shows pricing per instance for services hosted in .
    Infrastructure Pricing
    Total hourly price will vary by instance type and EC2 region. Click here for full EC2 pricing

    Recent Product Reviews

    11/09/2017

    Looks promising

    Excited to start working with P3 instances with their increased GPU performance. Eagerly awaiting Keras...

    Read more

    10/26/2017

    Thx, still not yet fully operational

    Launching went smoothly, still: > We definitely miss Keras 2. > Mentioned README.md is not where you mentioned. It is located here: /home/ec2-user/AmazonLinuxCuda9.README.md >...

    Read more

    Create Your Own Review