Posted On: Dec 20, 2017
The Amazon Deep Learning AMIs are now available in the Amazon Web Services China (Beijing) region, operated by Sinnet, providing fully-configured virtual environments for AI developers and data scientists to quickly start experimenting with deep learning models.
The AMIs come with pre-built packages of popular deep learning frameworks including Apache MXNet and Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, Pytorch, and Keras. In addition, to expedite your development and model training, the AMIs are pre-configured with NVidia CUDA and cuDNN drivers, and are optimized for GPU-acceleration on Amazon EC2 P2 and P3 instances.
We have three types of Amazon Deep Learning AMIs available to support the various needs of machine learning practitioners. To get started, visit our documentation and resources, including an AMI selection guide and simple tutorials.
You can find the Deep Learning AMI of your choice in the Quick Start section of the Step 1: Choose an Amazon Machine Image (AMI) in the EC2 instance launch wizard.