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Deep Learning AMI (Ubuntu)

By: Latest Version: 21.2

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. Deep learning frameworks are installed in Conda environments to provide a reliable and isolated environment for machine learning practitioners. 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 such as MKL-DNN and iDeep for high performance across Amazon EC2 instances such as P3 and C5. The AMI also includes Docker and Nvidia-Docker. Deep Learning AMI supports Amazon Elastic Inference with TensorFlow and MXNet on EC2 instances launched with an Elastic Inference Accelerator.

Deep Learning frameworks (with CUDA 8.0, 9.0, 9.2, 10.0 and cuDNN, NCCL):
Apache MXNet 1.3.1 with Gluon
TensorFlow 1.12.0 + Horovod
Caffe2 0.8.1
PyTorch 1.0.0
Chainer 5.1.0
CNTK 2.6
Theano 1.0.3
Keras 2.2.4
Caffe 1.0 with CUDA 8 and cuDNN 6

Deep Learning AMI also comes with model debugging and hosting capabilities:
MXNet Model Server 1.0
TensorFlow Serving 1.12.0
TensorBoard 1.12.0
GPU Drivers: NVIDIA Driver 410.79
Get started with running your deep learning code in minutes:
For a fully managed experience, use Amazon SageMaker :




Operating System

Linux/Unix, Ubuntu 16.04

Delivery Methods

  • Amazon Machine Image

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