AWS Machine Learning Blog

Category: AWS Deep Learning AMIs

PyTorch 1.0 preview now available in Amazon SageMaker and the AWS Deep Learning AMIs

Amazon SageMaker and the AWS Deep Learning AMIs (DLAMI) now provide an easy way to evaluate the PyTorch 1.0 preview release. PyTorch 1.0 adds seamless research-to-production capabilities, while retaining the ease-of-use that has enabled PyTorch to rapidly gain popularity. The AWS Deep Learning AMI comes pre-built with PyTorch 1.0, Anaconda, and Python packages, with CUDA and […]

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New speed record set for training deep learning models on AWS

fast.ai, a research lab dedicated to making deep learning more accessible, has announced that they successfully trained the ResNet-50 deep learning model on a million images in 18 minutes using 16 Amazon EC2 P3.16xlarge instances. They accomplished this milestone by spending just $40. This new speed record illustrates how you can drastically cut down the training times for deep learning models, enabling you to bring your innovations to market faster and at a lower cost.

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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 […]

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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 […]

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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, […]

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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 […]

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Optimized TensorFlow 1.8 now available in the AWS Deep Learning AMIs to accelerate training on Amazon EC2 C5 and P3 instances

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with advanced optimizations for TensorFlow 1.8 to deliver higher-performance training for Amazon EC2 C5 and P3 instances. For CPU-based training scenarios, the Amazon Machine Images (AMIs) now include TensorFlow 1.8, built with Intel’s Advanced Vector Instructions (AVX), SSE, and FMA instruction sets to accelerate vector and floating-point computations. The […]

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AWS Deep Learning AMIs now with optimized TensorFlow 1.7 for faster training on Amazon EC2 C5 and P3 instances

The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with TensorFlow 1.7, which is built with advanced optimizations for high-performance training across Amazon EC2 instance families. This is an update to the optimized build of TensorFlow 1.6 that we launched in late March. Faster training with optimized TensorFlow 1.7 The Amazon Machine […]

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Faster training with optimized TensorFlow 1.6 on Amazon EC2 C5 and P3 instances

The AWS Deep Learning AMIs come with latest pip packages of popular deep learning frameworks pre-installed in separate virtual environments so that developers can quickly get started with training deep learning models. The new version of the Deep Learning AMIs for Ubuntu and Amazon Linux now come with TensorFlow 1.6, built with advanced optimizations for […]

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