• Menu
  • Skip to right header navigation
  • Skip to main content
  • Skip to primary sidebar

DigiBanker

Bringing you cutting-edge new technologies and disruptive financial innovations.

  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In
  • Home
  • Pricing
  • Features
    • Overview Of Features
    • Search
    • Favorites
  • Share!
  • Log In

Amazon SageMaker HyperPod’s observability solution offers a comprehensive dashboard that provides insights into foundation model (FM) development tasks and cluster resources by consolidating health and performance data from various sources

July 14, 2025 //  by Finnovate

Amazon SageMaker HyperPod offers a comprehensive dashboard that provides insights into foundation model (FM) development tasks and cluster resources. This unified observability solution automatically publishes key metrics to Amazon Managed Service for Prometheus and visualizes them in Amazon Managed Grafana dashboards. The dashboard consolidates health and performance data from various sources, including NVIDIA DCGM, instance-level Kubernetes node exporters, Elastic Fabric Adapter (EFA), integrated file systems, Kubernetes APIs, Kueue, and SageMaker HyperPod task operators. The solution also abstracts management of collector agents and scrapers across clusters, offering automatic scalability of collectors across nodes as the cluster grows. The dashboards feature intuitive navigation across metrics and visualizations, helping users diagnose problems and take action faster. These capabilities save teams valuable time and resources during FM development, helping accelerate time-to-market and reduce the cost of generative AI innovations. To enable SageMaker HyperPod observability, users need to enable AWS IAM Identity Center and create a user in the IAM Identity Center.

Read Article

Category: AI & Machine Economy, Innovation Topics

Previous Post: « Amazon Web Services is launching a dedicated AI agent marketplace to enable startups to directly offer their AI agents to AWS customers while also letting enterprises to browse and install AI agents based on their requirements from a central location
Next Post: Embedded payments are seeing rising adoption in the parking sector through AI-recognition tech that lets customers just drive in and scan a QR code to enter their credit card information the first time they park, with automatic vehicle identification and charges applied on subsequent trips »

Copyright © 2025 Finnovate Research · All Rights Reserved · Privacy Policy
Finnovate Research · Knyvett House · Watermans Business Park · The Causeway Staines · TW18 3BA · United Kingdom · About · Contact Us · Tel: +44-20-3070-0188

We use cookies to provide the best website experience for you. If you continue to use this site we will assume that you are happy with it.