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Deep Learning Base AMI (Ubuntu 16.04)

Deep Learning Base AMI (Ubuntu 16.04)

By: Amazon Web Services Latest Version: V29.0

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 10.0, 10.1, 10.2, 11.0
NVIDIA cuDNN 7.5.1, 7.6.5, and 8.0.2
NVIDIA cuBLAS 8 and 9
NVIDIA NCCL 2.4.8, 2.5.6 and 2.7.6
NVIDIA GPU Driver 450.51.05
glibc 2.23, EFA 1.9.4
OpenCV 4.2.0 with CUDA OFF,
Intel MKL-DNN 0.18,
Python 2 and 3
The AWS Deep Learning Base AMI comes with the CUDA 10 environment installed by default, however you can also switch to other CUDA version environment using simple one-line commands:

Check the AWS Deep Learning AMI developer guide for more how-to guides, detailed release notes, and additional deep learning resources:



Operating System

Linux/Unix, Ubuntu 16.04

Delivery Methods

  • Amazon Machine Image

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Usage Information

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