Demonstrates a holistic observability solution using Amazon Managed Grafana dashboards to monitor both the quality and quantity of LLM inferences served on Amazon SageMaker AI endpoints, covering GPU utilization and quality metrics.
This report outlines a comprehensive observability solution implemented for LLM inference on Amazon SageMaker. By leveraging Amazon Managed Grafana dashboards, the solution provides a holistic view of the operational metrics, spanning from underlying GPU utilization to the actual quality and quantity of the LLM outputs. This approach ensures that organizations can effectively monitor and manage the performance and reliability of their large language model serving infrastructure.