Now use MXNet 1.3 and CNTK 2.6 on the AWS Deep Learning AMIs
The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with newer versions of MXNet 1.3 and CNTK 2.6. MXNet 1.3 provides improved support for Intel's Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), new pre-trained computer vision models in the Gluon Model Zoo library, and support for Clojure programming language. CNTK 2.6 provides improved support for Open Neural Network Exchange (ONNX), which is an open data format that allows you to design, train, and deploy deep learning models with any framework you choose. Deep Learning AMIs automatically deploy the framework builds optimized for the EC2 instance you select when you activate the framework's virtual environment for the first time.
The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with newer versions of MXNet 1.3 and CNTK 2.6. MXNet 1.3 provides improved support for Intel's Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), new pre-trained computer vision models in the Gluon Model Zoo library, and support for Clojure programming language. CNTK 2.6 provides improved support for Open Neural Network Exchange (ONNX), which is an open data format that allows you to design, train, and deploy deep learning models with any framework you choose. Deep Learning AMIs automatically deploy the framework builds optimized for the EC2 instance you select when you activate the framework's virtual environment for the first time.
AWS Deep Learning AMIs also support other popular frameworks including TensorFlow, PyTorch, and Chainer —all pre-installed and fully-configured for you to start developing your deep learning models in minutes while taking full advantage of the computational power of Amazon EC2 instances. For a complete list of frameworks and versions supported by the AWS Deep Learning AMI, see the release notes.
Get started quickly with the AWS Deep Learning AMIs using the getting-started guides and beginner-to-advanced level tutorials in our developer guide. You can also subscribe to our discussion forum to get launch announcements and post your questions.