AWS ML infrastructure and framework

AWS provides a variety of infrastructure services for building and deploying machine learning (ML) models. Some of the key services include

Amazon EC2 for ML workload: AWS provides a variety of EC2 instance types that can be used for ML workloads. Depending on the workload's needs, these instances can be configured with different amounts of CPU, memory, and GPU resources. For example, the P3 and G4 instances are designed explicitly for ML workloads and provide high-performance GPU resources.

Amazon Elastic Inference: It is a service that allows you to attach GPU resources to Amazon EC2 or Amazon SageMaker instances to accelerate machine learning inference workloads.

AWS Inferentia: AWS provides a custom-built chip called Inferentia that can be used to perform low-latency, high-throughput inferences on deep learning workloads. It is designed to provide high performance at a low cost and can be used with Amazon SageMaker.

AWS Trainium: AWS Trainium...