AWS Deep Learning AMI
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An AWS Deep Learning AMI is a Ambient Intelligence that enables a AWS Machine Learning Service based on a Deep Learning System.
- AKA: DLAMI.
- Context:
- It use a Deep Learning Neural Network architecture.
- …
- Example(s):
- Counter-Example(s):
- See: AWS Machine Learning Platform, Machine Learning Model Deployment System, Ambient Intelligence (AMI).
References
2019
- (Amazon ML,2019) ⇒ https://aws.amazon.com/machine-learning/amis/learning Retrieved:2019-01-06
- QUOTE: 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.
2017
- (BW, 2017) ⇒ https://www.businesswire.com/news/home/20171025006533/en/AWS-Announces-Availability-of-P3-Instances-for-Amazon-EC2
- QUOTE: ... AWS Deep Learning Machine Images (AMIs) are available in AWS Marketplace to help customers get started within minutes. The Deep Learning AMI comes preinstalled with the latest releases of Apache MXNet, Caffe2 and TensorFlow with support for Tesla V100 GPUs, and will be updated to support P3 instances with other machine learning frameworks such as Microsoft Cognitive Toolkit and PyTorch as soon as these frameworks release support for Tesla V100 GPUs. Customers can also use the NVIDIA Volta Deep Learning AMI that integrates deep learning framework containers from NVIDIA GPU Cloud, or start with AMIs for Amazon Linux, Ubuntu 16.04, Windows Server 2012 R2, or Windows Server 2016. ...