Accelerate foundation model development with one-click observability in Amazon SageMaker HyperPod
Machine Learning Blog
Amazon SageMaker HyperPod introduces a comprehensive one-click observability feature for foundation model development, providing automated insights and metrics visualization.
- Automatically publishes metrics to Amazon Managed Prometheus and Grafana
- Consolidates health and performance data from multiple sources like NVIDIA DCGM, Kubernetes, and hardware metrics
- Offers pre-built dashboards for Cluster, Tasks, Inference, Training, and File System monitoring
- Enables data scientists to monitor resource utilization at per-GPU level
- Allows cluster administrators to configure custom alerts and notification channels
The feature simplifies cluster telemetry management, helping teams accelerate foundation model development and reduce operational complexity.
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