AWS Deep Learning AMIs now come with TensorFlow 1.5.0 and new Model Serving Capabilities
The AWS Deep Learning AMIs are a quick and easy way to get started with machine learning. The AMIs with Source Code now come with TensorFlow 1.5.0-rc1 which supports NVidia CUDA 9 and cuDNN 7 drivers that take advantage of the V100 Volta GPUs powering the EC2 P3 instances. The Conda-based Deep Learning AMIs now come with the latest framework versions of Caffe, Keras 2.1.3, Microsoft Cognitive Toolkit 2.3.1, and Theano 1.0. The Conda-based AMIs also include TensorBoard for monitoring and debugging a TensorFlow model, and TensorFlow Serving to export TensorFlow models and create a server running a gRPC service for serving the model. Apache MXNet users can now benefit from the MXNet Model Server to quickly deploy an HTTP-based inference API for their models.
The AWS Deep Learning AMIs are a quick and easy way to get started with machine learning. The AMIs with Source Code now come with TensorFlow 1.5.0-rc1 which supports NVidia CUDA 9 and cuDNN 7 drivers that take advantage of the V100 Volta GPUs powering the EC2 P3 instances. The Conda-based Deep Learning AMIs now come with the latest framework versions of Caffe, Keras 2.1.3, Microsoft Cognitive Toolkit 2.3.1, and Theano 1.0. The Conda-based AMIs also include TensorBoard for monitoring and debugging a TensorFlow model, and TensorFlow Serving to export TensorFlow models and create a server running a gRPC service for serving the model. Apache MXNet users can now benefit from the MXNet Model Server to quickly deploy an HTTP-based inference API for their models.
All the AMIs for both Ubuntu and Amazon Linux platforms are updated with the latest NVidia GPU drivers and Operating System versions that include security patches for addressing the Spectre and Meltdown vulnerabilities. It’s fast and simple to get started with the AWS Deep Learning AMIs. The latest releases of the AMIs are available in the AWS Marketplace.