Introducing AWS Deep Learning Containers
AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning environments quickly. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch coming soon.
AWS Deep Learning Containers (AWS DL Containers) are Docker images pre-installed with deep learning frameworks to make it easy to deploy custom machine learning environments quickly. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch coming soon.
You can deploy AWS DL Containers on Amazon Elastic Container Service for Kubernetes (Amazon EKS), self-managed Kubernetes, Amazon Elastic Container Service (Amazon ECS), and Amazon EC2. The containers are available through Amazon Elastic Container Registry (Amazon ECR) and AWS Marketplace at no cost--you pay only for the resources that you use.
For more information, see AWS Deep Learning Containers. To get started with AWS DL Containers, check out the documentation and the tutorial.