Deep Learning AMI with a foundational platform of NVIDIA CUDA, cuDNN, GPU drivers, Intel MKL-DNN, and other low-level system libraries for deploying your own custom deep learning environment.

For example, for machine learning developers contributing to open source deep learning framework enhancements, the 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 Deep Learning AMI is provided at no additional charge to Amazon EC2 users.

Release tags/branches used on Deep Learning AMI:
NVIDIA CUDA 8.0, 9.0, 9.1 and 9.2
NVIDIA cuDNN 6.0.21 and 7.3.1,
NVIDIA cuBLAS 8 and 9,
NVIDIA NCCL 2.3.5,
NVIDIA GPU Driver 396.44
glibc 2.17,
OpenCV 3.4.1 with CUDA ON,
Intel MKL-DNN 0.15,
Python 2 and 3

The Deep Learning 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:

Version

By

Operating System

Linux/Unix, Amazon Linux 2018.03

Delivery Methods

• Amazon Machine Image