A machine learning specialist is running an Amazon SageMaker endpoint using the built-in object detection algorithm on a P3 instance for real-time predictions in a company's production application. When evaluating the model's resource utilization, the specialist notices that the model is using only a fraction of the GPU. Which architecture changes would ensure that provisioned resources are being utilized effectively?
A) Redeploy the model as a batch transform job on an M5 instance.
B) Redeploy the model on an M5 instance. Attach Amazon Elastic Inference to the instance.
C) Redeploy the model on a P3dn instance.
D) Deploy the model onto an Amazon Elastic Container Service (Amazon ECS) cluster using a P3 instance.

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The Answer of A machine learning specialist is running an Amazon SageMaker endpoint using the built-in object detection algorithm on a P3 instance for real-time predictions in a company's production application. When evaluating the model's resource utilization, the specialist notices that the model is using only a fraction of the GPU. Which architecture changes would ensure that provisioned resources are being utilized effectively?
A) Redeploy the model as a batch transform job on an M5 instance.
B) Redeploy the model on an M5 instance. Attach Amazon Elastic Inference to the instance.
C) Redeploy the model on a P3dn instance.
D) Deploy the model onto an Amazon Elastic Container Service (Amazon ECS) cluster using a P3 instance.

A Machine Learning Specialist Is Running an Amazon SageMaker Endpoint