AWS Machine Learning Blog

Tag: AWS Deep Learning

AWS Deep Learning AMIs now include ONNX, enabling model portability across deep learning frameworks

The AWS Deep Learning AMIs (DLAMI) for Ubuntu and Amazon Linux are now pre-installed and fully configured with Open Neural Network Exchange (ONNX), enabling model portability across deep learning frameworks. In this blog post we’ll introduce ONNX, and demonstrate how ONNX can be used on the DLAMI to port models across frameworks. What is ONNX? ONNX is an open […]

Read More

AWS Deep Learning AMIs now with optimized TensorFlow 1.9 and Apache MXNet 1.2 with Keras 2 support to accelerate deep learning on Amazon EC2 instances

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with an optimized build of TensorFlow 1.9 custom-built directly from source and fine-tuned for high performance training across Amazon EC2 instances. In addition, the AMIs come with the latest Apache MXNet 1.2 with several performance and usability improvements, the new Keras 2-MXNet backend […]

Read More

AWS Deep Learning AMIs Now Available in AWS GovCloud (US) Region

The AWS Deep Learning AMIs (Amazon machine images) are now available in AWS GovCloud (US), Amazon’s isolated cloud region built for sensitive data and regulated workloads. Available in Ubuntu and Amazon Linux, the AMIs provide fully-configured development environments to quickly build AI applications using popular deep learning frameworks including TensorFlow, Apache MXNet and Gluon, PyTorch, Chainer, […]

Read More

AWS Deep Learning AMIs now include Horovod for faster multi-GPU TensorFlow training on Amazon EC2 P3 instances

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come pre-installed and fully configured with Horovod, the popular open source distributed training framework to scale TensorFlow training on multiple GPUs. This is an update to the optimized build of TensorFlow 1.8 that we launched in early May. This custom build of TensorFlow 1.8 […]

Read More

Get Started with Deep Learning Using the AWS Deep Learning AMI

Whether you’re new to deep learning or want to build advanced deep learning projects in the cloud, it’s easy to get started by using AWS. The AWS Deep Learning AMIs (Amazon Machine Images) let you build, train, and deploy deep learning applications in the cloud at any scale. The AMIs come pre-installed with open-source deep […]

Read More

The AWS Deep Learning AMI for Ubuntu is Now Available with CUDA 8, Ubuntu 16, and the Latest Versions of Deep Learning Frameworks

The AWS Deep Learning AMI lets you build and scale deep learning applications in the cloud, at any scale. The AMI comes pre-installed with popular deep learning frameworks, to let you to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques. The latest release of the AWS Deep […]

Read More

Updated AWS Deep Learning AMIs with Apache MXNet 0.10 and TensorFlow 1.1 Now Available

You can now use Apache MXNet v0.10 and TensorFlow v1.1 with the AWS Deep Learning AMIs for Amazon Linux and Ubuntu. Apache MXNet announced version 0.10, available at http://mxnet.io, with significant improvements to documentation and tutorials including updated installation guides for running MXNet on various operating systems and environments, such as NVIDIA’s Jetson TX2. In […]

Read More

Running BigDL, Deep Learning for Apache Spark, on AWS

In recent years, deep learning has significantly improved several AI applications, such as recommendation engines, voice and speech recognition, and image and video recognition. Many customers process the massive amounts of data that feed these deep neural networks in Apache Spark, only to later feed it into a separate infrastructure to train models using popular […]

Read More

Deploy Deep Learning Models on Amazon ECS

Artificial intelligence (AI) is the computer science field dedicated to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition. Machine learning (ML) and deep learning (DL) are computer science fields derived from the AI discipline. Most ML and DL systems have two distinct parts: training (or learning) and […]

Read More