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Deep Learning Base AMI (Ubuntu 16.04)

Deep Learning Base AMI (Ubuntu 16.04)

By: Amazon Web Services Latest Version: V21.0
Linux/Unix
Linux/Unix

Product Overview

AWS Deep Learning Base AMI provides a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, Docker and Nvidia-Docker, etc. for deploying your own custom deep learning environment.

For example, for machine learning developers contributing to open source deep learning framework enhancements, the AWS Deep Learning AMI provides a clean foundation for installing your custom configurations and forked repositories to test out new framework features. You could also be a Machine Learning / AI startup with a highly specialized deep learning setup that needs a foundation to run on a cloud-scale infrastructure.

The AWS Deep Learning AMI is provided at no additional charge to Amazon EC2 users.

Release tags/branches used on Deep Learning AMI:
NVIDIA CUDA 9.0, 9.2, 10.0, 10.1
NVIDIA cuDNN 7.3.1 and 7.5.1, 7.6.2
NVIDIA cuBLAS 8 and 9,
NVIDIA NCCL 2.3.5 and 2.4.8.1
NVIDIA GPU Driver 418.87.01
glibc 2.27,
OpenCV 4.0.0 with CUDA OFF,
Intel MKL-DNN 0.18,
Python 2 and 3
The AWS Deep Learning Base AMI comes with the CUDA 9 environment installed by default, however you can also switch to a CUDA 8 or 10 environment using simple one-line commands: https://docs.aws.amazon.com/dlami/latest/devguide/tutorial-base.html.

Check the AWS Deep Learning AMI developer guide for more how-to guides, detailed release notes, and additional deep learning resources: http://docs.aws.amazon.com/dlami/latest/devguide/what-is-dlami.html

Version

V21.0

Operating System

Linux/Unix, Ubuntu 16.04

Delivery Methods

  • Amazon Machine Image

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