The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with an optimized build of TensorFlow 1.12 and support for MMS 1.0 , a Model Server for Apache MXNet that provides a flexible and easy way to serve deep learning models exported from MXNet or the Open Neural Network Exchange (ONNX) . For Amazon EC2 C5 instances, Deep Learning AMIs deploy compute-optimized TensorFlow built with Intel Advanced Vector Extensions (AVX instruction sets) to speed up the performance of vector and floating point operations. The AMIs also come pre-configured to leverage Intel Math Kernel Library for Deep Neural Networks (MKL-DNN). Training a ResNet-50 benchmark with the synthetic ImageNet dataset using our optimized build of TensorFlow 1.12 on a c5.18xlarge instance type was 13x faster than training using the stock TensorFlow 1.12 binaries.