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Опубликовано 23 апреля 2019, 19:38
At the AWS Summit Santa Clara 2019, we announced AWS Deep Learning Containers (AWS DL Containers), which are Docker images optimized and pre-installed with the latest versions of deep learning frameworks, allowing you to skip the complicated process of building and optimizing your machine learning (ML) environments from scratch. Learn more at - amzn.to/2WZUIXe
With AWS DL Containers, you can quickly set up custom ML environments on Kubernetes, Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and Amazon EC2. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch coming soon. 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. Get started using this hands-on tutorial: aws.amazon.com/getting-started...
With AWS DL Containers, you can quickly set up custom ML environments on Kubernetes, Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), and Amazon EC2. AWS DL Containers support TensorFlow and Apache MXNet, with PyTorch coming soon. 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. Get started using this hands-on tutorial: aws.amazon.com/getting-started...