AWS Deep Learning AMIs
The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale. You can quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks such as Apache MXNet and Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, PyTorch, Chainer, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.
C5 instances are powered by 3.0 GHz Intel Xeon Scalable processors, and allow a single core to run up to 3.5 GHz using Intel Turbo Boost Technology. C5 instances offer higher memory to vCPU ratio and deliver 25% improvement in price/performance compared to C4 instances, and are ideal for demanding inference applications.Whether you need Amazon EC2 GPU or CPU instances, there is no additional charge for the Deep Learning AMIs – you only pay for the AWS resources needed to store and run your applications.
The AWS Deep Learning AMIs support all the popular deep learning frameworks allowing you to define models and then train them at scale. Built for Amazon Linux and Ubuntu, the AMIs come pre-configured with Apache MXNet and Gluon, TensorFlow, Microsoft Cognitive Toolkit, Caffe, Caffe2, Theano, Torch, PyTorch, Chainer, and Keras, enabling you to quickly deploy and run any of these frameworks at scale.P3 instances provide up to 14 times better performance than previous-generation Amazon EC2 GPU compute instances. With up to 8 NVIDIA Tesla V100 GPUs, P3 instances provide up to one petaflop of mixed-precision, 125 teraflops of single-precision, and 62 teraflops of double-precision floating point performance.
Choosing an AWS Deep Learning AMI
Even for experienced machine learning practitioners, getting started with deep learning can be time consuming and cumbersome. The AMIs we offer support the various needs of developers. To help guide you through the getting started process, also visit the AMI selection guide and more deep learning resources.
For developers who want pre-installed pip packages of deep learning frameworks in separate virtual environments, the Conda-based AMI is available in Ubuntu, Amazon Linux and Windows 2016 versions.
Learn more about the benefits of the Conda AMI and get started with this step-by-step guide.
For developers who want a clean slate to set up private deep learning engine repositories or custom builds of deep learning engines, the Base AMI is available in Ubuntu and Amazon Linux versions.
Learn more about the benefits of the Base AMI and get started with this step-by-step guide.