Get Started with TensorFlow on AWS Today

TensorFlow™ enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding and speech translation. 

You can get started using TensorFlow on AWS by launching the AWS Deep Learning AMI which comes bundled with TensorFlow; as well as, other popular deep learning frameworks such as Apache MXNet, Caffe, Caffe2, Theano, Torch, Keras, and the Microsoft Cognitive Toolkit.




TensorFlow comes with a full suite of visualization tools that make it easy to understand, debug, and optimize applications. With support for a variety of styles – from images and audio to histograms and graphs – you can train massive deep neural networks quickly and easily.


Mobile Development

TensorFlow Mobile features a reduced code footprint and mathematical tools to facilitate smaller model sizes. Suitable for Android, TensorFlow Mobile is also ideal for situations where network access is intermittent or expensive.



With TensorFlow, you get access to extensive documentation and tutorials that can help accelerate your AI development. TensorFlow also has a large and extremely active community of users who regularly contribute code and resolve issues on GitHub.

Many organizations are benefiting from the ease-of-use and flexibility of getting started using TensorFlow on AWS. 


It's easy to start using TensorFlow on AWS by visiting the AWS Marketplace and launching the AWS Deep Learning AMI.

Built for Amazon Linux and Ubuntu, the AMIs provides the latest stable build of TensorFlow and many other popular deep learning frameworks and tools at no additional cost. You pay only for the EC2 time you consume.