Deep Learning AMI Amazon Linux Version
- Sold by: Amazon Web Services
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 designed to provide a stable, secure, and high performance execution environment for deep learning applications running on Amazon EC2. It includes popular deep learning frameworks, including MXNet, Caffe, Caffe2, TensorFlow, Theano, CNTK, Torch and Keras as well as packages that enable easy integration with AWS, including launch configuration tools and many popular AWS libraries and tools. It also includes Anaconda Data Science Platform for Python2... Read more
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Operating System
Linux/Unix, Amazon Linux 2016.09
Delivery Method
64-bit Amazon Machine Image (AMI) (Read more)
Support
AWS Services Required
Amazon EC2, Amazon EBS
Highlights
- Security Patches(for Stackguard vulnerability) applied on the base Amazon Linux AMI
- MXNet compiled with S3 support
- 7 Deep Learning Frameworks - contains the most popular Deep Learning Frameworks(MXNet, Caffe, Caffe2, Tensorflow, Theano, Torch and CNTK)
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 designed to provide a stable, secure, and high performance execution environment for deep learning applications running on Amazon EC2. It includes popular deep learning frameworks, including MXNet, Caffe, Caffe2, TensorFlow, Theano, CNTK, Torch and Keras as well as packages that enable easy integration with AWS, including launch configuration tools and many popular AWS libraries and tools. 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 Amazon Linux AMI are the following:
us-east-1: ami-4b44745d
us-east-2: ami-305d7c55
us-west-2: ami-296e7850
eu-west-1: ami-d36386aa
ap-southeast-2: ami-52332031
ap-northeast-1: ami-b44050d3
ap-northeast-2: ami-1523fc7b
Release tags/Branches used for the DW Frameworks:
MXNet : v0.10.0 tag
TensorFlow : v1.1.0 tag
Theano : rel-0.8.2 tag
Caffe : rc5 tag
Caffe2: v0.7.0
Keras : 1.2.2 tag
CNTK : v2.0.rc1 tag
Torch : master branch
Product Details
- Version: 2.3_Jun2017
- Available on AWS Marketplace Since: 09/30/2016
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 Amazon Linux Version
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).
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
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.Recent Product Reviews
04/05/2017
Runs Keras under TensorFlow
I think most reviews for this AMI are outdated, even the ones from 2017: I've been running Keras under...
01/18/2017
Easy to use with some limitations
Easy to set up. Contains most of the software I was looking for: Anaconda, Keras, Theano, TensorFlow,...
12/04/2016
Awesome Deep Learning AMI
Fast and Easy. Fast: Allows you to detailed hard core deep learning computation really smoothly. Easy:...
11/27/2016
DOES now have necessary drivers: Most other reviews at this time are out of date
I initially rejected this AMI on the basis of the current reviews, which state that it doesn't have the...
11/26/2016
Old reviews wrong: everything is pre-installed
Older reviews of this AMI are out of date. The current version of this AMI comes with GPU drivers, CUDA,...
