Deep Learning AMI with Source Code (CUDA 9, Ubuntu)

The Deep Learning AMI is a base Ubuntu 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 Ubuntu AMI are the following:us-east-1: ami-5af95d20 us-east-2: ami-ceb39fabus-west-2: ami-b8c807c0 eu-west-1: ami-9b32e8e2ap-southeast-2: ami-d156bab3 ap-northeast-2: ami-683c9906 ap-northeast-1: ami-343a9c52 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


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    Latest Version

    1.0


    Operating System

    Linux/Unix, Ubuntu 16.04


    Delivery Method

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



    AWS Services Required

    Amazon EC2, Amazon EBS


    Highlights

    • Used Ubuntu 16.04 (ami-cd0f5cb6) 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 Ubuntu 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 Ubuntu AMI are the following:
    us-east-1: ami-5af95d20
    us-east-2: ami-ceb39fab
    us-west-2: ami-b8c807c0
    eu-west-1: ami-9b32e8e2
    ap-southeast-2: ami-d156bab3
    ap-northeast-2: ami-683c9906
    ap-northeast-1: ami-343a9c52

    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 ubuntu. You can find additional information in the README. /home/ubuntu/src/README.md

    Support Details

    Deep Learning AMI with Source Code (CUDA 9, Ubuntu)

    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

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    Recent Product Reviews

    11/08/2017

    Incomplete

    Trying to run testall but it fails. Tensorflow test fails with keras not found. Trying to upgrade Tensorflow...

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