Get started with Apache MXnet on AWS with NVIDIA

If you're new to deep learning, or want to accelerate deep learning on the cloud, use these self-service guides to build and launch your own deep learning project using Apache MXNet on AWS with NVIDIA GPU computing.

Sign up for an AWS account

Instantly get access to the AWS services.

Get the AWS Deep Learning AMI

Select the right AMI and instance type for your project.

Start building with MXNet

Start building with these simple tutorials.

MXNet tutorials

Get hands-on with these simple deep learning tutorials.

MXNet

Create a computer vision application

Use a pre-built notebook to get up and running quickly and learn how MXNet works.

MXNet

Build a movie recommendation system

Use matrix factorization to understand user behavior and predict customer recommendations with accuracy.

MXNet

Build an image label prediction API

Use pre-trained models from the model zoo to quickly predict image content using AWS Lambda and AWS API Gateway.

MXNet webinars

A deeper dive into deep learning with Apache MXNet on AWS.

Deep learning for data scientists using Apache MXNet and R on AWS.

Introduction to Generative Adversarial Networks with Apache MXNet.

Stay up to date with AWS webinars.

Explore deep learning on AWS

AWS Deep Learning AMIs

With the AWS Deep Learning AMIs, you can train custom models, experiment with new algorithms, and learn new deep learning skills and techniques. The AMIs come in several flavors including pre-installed, open source deep learning frameworks such as Apache MXNet and Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, PyTorch, and Keras. There is no additional charge to use the AMIs—you pay only for the AWS resources needed to store and run your applications. More >

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