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Description

AWS Deep Learning AMIs (DLAMI) offer machine learning professionals and researchers a secure and curated collection of frameworks, tools, and dependencies to enhance deep learning capabilities in cloud environments. Designed for both Amazon Linux and Ubuntu, these Amazon Machine Images (AMIs) are pre-equipped with popular frameworks like TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, enabling quick deployment and efficient operation of these tools at scale. By utilizing these resources, you can create sophisticated machine learning models for the development of autonomous vehicle (AV) technology, thoroughly validating your models with millions of virtual tests. The setup and configuration process for AWS instances is expedited, facilitating faster experimentation and assessment through access to the latest frameworks and libraries, including Hugging Face Transformers. Furthermore, the incorporation of advanced analytics, machine learning, and deep learning techniques allows for the discovery of trends and the generation of predictions from scattered and raw health data, ultimately leading to more informed decision-making. This comprehensive ecosystem not only fosters innovation but also enhances operational efficiency across various applications.

Description

Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
AWS Neuron Yes 
Amazon EC2 G5 Instances Yes 
Amazon EC2 P4 Instances Yes 
Amazon EC2 Trn1 Instances Yes 
Amazon Web Services (AWS) Yes 
Amazon EC2 Inf1 Instances Yes 
Amazon EC2 P5 Instances No 
Amazon EC2 Trn2 Instances Yes 
Amazon EKS No 
Amazon Elastic Container Registry (ECR) No 
Amazon Elastic Container Service (Amazon ECS) No 
Amazon SageMaker No 
PuppyGraph Yes 

Integrations

AWS Marketplace Yes 
AWS Neuron Yes 
Amazon EC2 G5 Instances Yes 
Amazon EC2 P4 Instances Yes 
Amazon EC2 Trn1 Instances Yes 
Amazon Web Services (AWS) Yes 
Amazon EC2 Inf1 Instances No 
Amazon EC2 P5 Instances Yes 
Amazon EC2 Trn2 Instances No 
Amazon EKS Yes 
Amazon Elastic Container Registry (ECR) Yes 
Amazon Elastic Container Service (Amazon ECS) Yes 
Amazon SageMaker Yes 
PuppyGraph No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/machine-learning/amis/

Vendor Details

Company Name

Amazon

Founded

2006

Country

United States

Website

aws.amazon.com/machine-learning/containers/

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

Container Management

Access Control No 
Application Development No 
Automatic Scaling No 
Build Automation No 
Container Health Management No 
Container Storage No 
Deployment Automation No 
File Isolation No 
Hybrid Deployments No 
Network Isolation No 
Orchestration No 
Shared File Systems No 
Version Control No 
Virtualization No 

Alternatives

Alternatives

AWS Neuron Reviews

AWS Neuron

Amazon Web Services