Deep Learning AMI (Ubuntu)

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Product Overview

Deep Learning AMI comes with popular deep learning frameworks optimized for high performance execution on Amazon EC2 instances. Includes Apache MXNet, TensorFlow, PyTorch, Caffe, Caffe2, Keras, Chainer, CNTK and Theano. The deep learning frameworks are installed in separate virtual environments to provide a reliable and secure execution environment for machine learning practitioners. The Deep Learning AMI also includes Anaconda data science distribution.

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

Deep Learning frameworks are configured with latest version of NVIDIA CUDA that they support for high performance across Amazon EC2 P3, P2, and GPU instance family.

Deep Learning frameworks (configured with CUDA 9.0 and cuDNN 7.0.5):
Apache MXNet 1.1 (with Gluon)
TensorFlow 1.7 (also configured with Intel MKL-DNN for EC2 C5, C4 and compute-optimized instances)
Caffe2 0.8.1
PyTorch 0.3.1
Chainer 3.5.0
CNTK 2.5
Theano 1.0
Keras 1.2.2 and Keras 2.1.5
Caffe 1.0 with CUDA 8 and cuDNN 6

Deep Learning AMI also comes with model debugging and hosting capabilities:
MXNet Model Server 0.1
TensorFlow Serving 1.6.0
TensorBoard 1.7.0

GPU Drivers: NVIDIA Driver 384.111

Get started with running your deep learning code in minutes:

Check Deep Learning AMI developer guide for additional deep learning resources:



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Operating System

Linux/Unix, Ubuntu 16.04

Fulfillment Methods

  • Amazon Machine Image

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