deep-learning-containers
AWS Deep Learning Containers provide Docker images optimized for model training and serving with TensorFlow, PyTorch, and MXNet. These containers enable efficient deployment on platforms such as Amazon SageMaker, EC2, ECS, and EKS. With pre-configured environments leveraging Nvidia CUDA and Intel MKL, AWS DLCs simplify machine learning workflows by offering seamless integration for both GPU and CPU instances. Users can experience tested performance across AWS services, ensuring streamlined cloud development and deployment.
