AWS ML BlogSaturday · May 30, 2026FREE

Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality

The solution integrates Amazon Managed Grafana with SageMaker AI inference endpoints that use inference components. It provides pre-built dashboards covering GPU utilization, memory, request latency, throughput, and LLM-specific metrics like token generation rate and response quality scores. The dashboards also include model quality metrics such as semantic similarity and toxicity detection, enabling teams to monitor both infrastructure health and output quality in one place. This is particularly relevant for production LLM applications where understanding model behavior is as critical as resource utilization. The solution is available now for SageMaker AI customers using inference components, with no additional cost beyond the underlying AWS services (Grafana workspace, CloudWatch, etc.).