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Deep Learning AMI (Amazon Linux)

By: Latest Version: 14.0

Deep Learning AMI (Amazon Linux)

Product Overview

Deep Learning AMI comes with popular deep learning frameworks optimized for high performance on Amazon EC2 instances. Includes Apache MXNet, TensorFlow, PyTorch, Caffe, Caffe2, Keras, Chainer, CNTK and Theano. The deep learning frameworks are installed in Conda environments to provide a reliable an isolated 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 pre-configured with latest versions of NVIDIA CUDA, cuDNN and Intel acceleration libraries for high performance across Amazon EC2 instances such as P3 and C5.
Deep Learning frameworks (with CUDA 8.0, 9.0, 9.1, 9.2 and cuDNN 7.1.4):

Apache MXNet 1.2.1. with Gluon (+ Intel MKL, + ONNX)
TensorFlow 1.10.0 (+ Intel MKL-DNN) + Horovod
Caffe2 0.8.1
PyTorch 0.4.1 (+ MKL, + ONNX)
Chainer 4.4.0(+ Intel iDeep, + ONNX)
CNTK 2.5.1 (+ MKL-DNN, + ONNX)
Theano 1.0.2
Keras 2.2.2
Caffe 1.0 with CUDA 8 and cuDNN 6

Deep Learning AMI also comes with model debugging and hosting capabilities:
MXNet Model Server 0.4
TensorFlow Serving 1.10.0
TensorBoard 1.10.0

GPU Drivers: NVIDIA Driver 396.44
Get started with running your deep learning code in minutes:
Check Deep Learning AMI developer guide for additional deep learning resources:




Operating System

Linux/Unix, Amazon Linux 2018.03

Fulfillment Methods

  • Amazon Machine Image

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