AWS Machine Learning Blog

Category: AWS Deep Learning AMIs

AWS Deep Learning AMIs Now Provide Faster Training on Volta GPUs for TensorFlow and Microsoft Cognitive Toolkit

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now include the latest versions of TensorFlow (1.5) and Microsoft Cognitive Toolkit (2.4). These frameworks provide support for NVIDIA CUDA 9 and cuDNN 7 drivers. This allows you to take advantage of the mixed-precision training supported by the V100 Volta GPUs powering Amazon EC2 P3 […]

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Zocdoc builds patient confidence using TensorFlow on AWS

The healthcare industry is complicated. A recent survey showed that more than half of Americans have difficulty understanding their insurance coverage, and three-quarters want an easier way to check if doctors are in-network. Zocdoc helps patients navigate this maze, allowing individuals with health care needs to make more informed choices and find care that matches […]

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AWS Deep Learning AMIs now come with TensorFlow 1.5 and new Model Serving capabilities

The AWS Deep Learning AMIs help you quickly and easily get started with machine learning. The AMIs include a range of prebuilt options that cater to the diverse needs of machine learning practitioners. For those who want the latest stock versions of deep learning frameworks, the Deep Learning AMIs provide prebuilt pip binaries installed in […]

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AWS Deep Learning AMIs Now Available in 4 New Regions: Beijing, Frankfurt, Singapore, and Mumbai

The AWS Deep Learning AMIs are now available in four new AWS Regions: China (Beijing) operated by Sinnet, Europe (Frankfurt), Asia Pacific (Singapore), and Asia Pacific (Mumbai). The Amazon Machine Images (AMIs) provide provide machine learning practitioners with the infrastructure and tools to accelerate deep to quickly start experimenting with deep learning models. The AMIs […]

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Updated AWS Deep Learning AMIs: New Versions of TensorFlow, Apache MXNet, Keras, and PyTorch

We’re excited to update the AWS Deep Learning AMIs with significantly faster training on NVIDIA Tesla V100 “Volta” GPUs across many frameworks, including TensorFlow, PyTorch, Keras, and the latest Apache MXNet 1.0 release. There are two main flavors of the AMIs available today. The Conda-based AWS Deep Learning AMI packages the latest point releases of […]

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New AWS Deep Learning AMIs for Machine Learning Practitioners

We’re excited to announce the availability of two new versions of the AWS Deep Learning AMI. The first is a Conda-based AMI with separate Python environments for deep learning frameworks created using Conda—a popular open source package and environment management tool. The second is a Base AMI with GPU drivers and libraries to deploy your own […]

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Announcing New AWS Deep Learning AMI for Amazon EC2 P3 Instances

We’re pleased to announce a new set of AWS Deep Learning AMIs, which come pre-installed with deep learning frameworks optimized for the NVIDIA Volta V100 GPUs in the new Amazon EC2 P3 instance family. The new P3 instances are perfect for deep learning, with eight NVIDIA Volta GPUs available in a single p3.16xlarge instance, which […]

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AWS Deep Learning AMI Now Supports PyTorch, Keras 2 and Latest Deep Learning Frameworks

Today, we’re pleased to announce an update to the AWS Deep Learning AMI. The AWS Deep Learning AMI, which lets you spin up a complete deep learning environment on AWS in a single click, now includes PyTorch, Keras 1.2 and 2.0 support, along with popular machine learning frameworks such as TensorFlow, Caffe2 and Apache MXNet. […]

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Build an Autonomous Vehicle on AWS and Race It at the re:Invent Robocar Rally

Autonomous vehicles are poised to take to our roads in massive numbers in the coming years. This has been made possible due to advances in deep learning and its application to autonomous driving. In this post, we take you through a tutorial that shows you how to build a remote control (RC) vehicle that uses […]

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