Now Use Chainer 4.4 and Theano 1.0.2 on the AWS Deep Learning AMIs
The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with newer versions of Chainer 4.4 and Theano 1.0.2. As with rest of the frameworks, Deep Learning AMIs offers optimized builds of Chainer 4.4 and Theano 1.0.2 that are fine-tuned and fully-configured for high performance deep learning on Amazon EC2 CPU and GPU instances. Deep Learning AMIs automatically deploy the framework builds optimized for the EC2 instance you select when you activate the framework's virtual environment for the first time.
The AWS Deep Learning AMIs for Ubuntu and Amazon Linux now come with newer versions of Chainer 4.4 and Theano 1.0.2. As with rest of the frameworks, Deep Learning AMIs offers optimized builds of Chainer 4.4 and Theano 1.0.2 that are fine-tuned and fully-configured for high performance deep learning on Amazon EC2 CPU and GPU instances. Deep Learning AMIs automatically deploy the framework builds optimized for the EC2 instance you select when you activate the framework's virtual environment for the first time.
AWS Deep Learning AMIs also support popular frameworks including TensorFlow, PyTorch, and Apache MXNet with Gluon —all pre-installed and fully-configured for you to start developing your deep learning models in minutes while taking full advantage of the computational power of Amazon EC2 instances. For a complete list of frameworks and versions supported by the AWS Deep Learning AMI, see the release notes.
Get started quickly with the AWS Deep Learning AMIs using the getting-started guides and beginner-to-advanced level tutorials in our developer guide. You can also subscribe to our discussion forum to get launch announcements and post your questions.