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Deep Learning Base AMI (Amazon Linux)

The AMI comes pre-installed with the foundational building blocks of deep learning. This includes NVidia CUDA libraries, GPU drivers, and low-level system libraries to scale and accelerate machine learning operations on AWS EC2 instances. You can use this AMI as a clean slate to deploy your customized deep learning set up. For example, for developers contributing to open source deep learning framework enhancements or even building out a new cloud-first deep learning engine, the Base AMI provides the foundation to install your own custom configurations and code repositories to test out new framework features. You could also be an AI startup with a highly specialized deep learning setup that needs a foundation to run on a cloud-scale infrastructure.The AMI Ids for the Deep Learning Base AMI (Amazon Linux) are the following:us-east-1 ami-5c42c626 us-east-2 ami-9c745af9us-west-2 ami-dceb3aa4eu-west-1 ami-bd12bbc4ap-southeast-2 ami-f803eb9aap-northeast-2 ami-6fef4801ap-northeast-1 ami-e1922587GPU drivers and system libraries installed:CUDA 8 and 9CuBLAS 8 and 9CuDNN 6 and 7 glibc 2.18 OpenCV 3.2.0NVIDIA driver 384.81NCCL 2.0.5Python 2 and 3The Base AMI comes with the CUDA 9 environment installed by default, however you can also switch to a CUDA 8 environment using simple one-line commands. Check the AMI docsite for more how-to guides and resources on the Deep Learning Base AMI: http://docs.aws.amazon.com/dlami/latest/devguide/what-is-dlami.html


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    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
    • Comes with CUDA 8 and 9, CuBLAS 8 and 9, CuDNN 6 and 7, glibc 2.18, OpenCV 3.2.0, NVIDIA driver 384.81, NCCL 2.0.5, Python 2 and 3
    • Provides foundational building blocks of deep learning. You can use this AMI as a clean slate to deploy your customized deep learning set up. Comes with CUDA 9 configured by default that can be easily switched to CUDA 8 through simple shell commands

    Product Description

    The AMI comes pre-installed with the foundational building blocks of deep learning. This includes NVidia CUDA libraries, GPU drivers, and low-level system libraries to scale and accelerate machine learning operations on AWS EC2 instances. You can use this AMI as a clean slate to deploy your customized deep learning set up.

    For example, for developers contributing to open source deep learning framework enhancements or even building out a new cloud-first deep learning engine, the Base AMI provides the foundation to install your own custom configurations and code repositories to test out new framework features. You could also be an AI startup with a highly specialized deep learning setup that needs a foundation to run on a cloud-scale infrastructure.

    The AMI Ids for the Deep Learning Base AMI (Amazon Linux) are the following:
    us-east-1 ami-5c42c626
    us-east-2 ami-9c745af9
    us-west-2 ami-dceb3aa4
    eu-west-1 ami-bd12bbc4
    ap-southeast-2 ami-f803eb9a
    ap-northeast-2 ami-6fef4801
    ap-northeast-1 ami-e1922587

    GPU drivers and system libraries installed:
    CUDA 8 and 9
    CuBLAS 8 and 9
    CuDNN 6 and 7
    glibc 2.18
    OpenCV 3.2.0
    NVIDIA driver 384.81
    NCCL 2.0.5
    Python 2 and 3

    The Base AMI comes with the CUDA 9 environment installed by default, however you can also switch to a CUDA 8 environment using simple one-line commands. Check the AMI docsite for more how-to guides and resources on the Deep Learning Base AMI: http://docs.aws.amazon.com/dlami/latest/devguide/what-is-dlami.html

    Product Details

    • Version: 1.0
    • Available on AWS Marketplace Since: 11/15/2017

    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 Base AMI (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

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    Refund Policy

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    End User License Agreement

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