Technical requirements
In the Using SageMaker DL containers and Developing BYO containers sections, we will provide walk-through code samples, so you can develop practical skills. Full code examples are available at https://github.com/PacktPublishing/Accelerate-Deep-Learning-Workloads-with-Amazon-SageMaker/blob/main/chapter2/.
To follow along with this code, you will need the following:
- An AWS account and IAM user with the permissions to manage Amazon SageMaker resources.
- Python 3 and the SageMaker SDK (https://pypi.org/project/sagemaker/) installed on your development machine.
- Docker installed on your development machine.
- To use SageMaker P2 instances for training purposes, you will likely need to request a service limit increase on your AWS account. For more details, please view https://docs.aws.amazon.com/general/latest/gr/aws_service_limits.html.