---
format: "aidr-story-markdown/v1"
id: "58ab0ace6c92af8d0c299e2a5faf45a0d09eb11ffe93ae83da1191a4ae08a9fc"
canonical_url: "https://aidr.today/58ab0ace?lang=en"
title: "Best practices for Amazon SageMaker HyperPod administration and governance"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-06T15:50:23.000Z"
category: "Infra"
topics: ["amazon"]
source_urls: ["https://aws.amazon.com/blogs/machine-learning/best-practices-for-amazon-sagemaker-hyperpod-administration-and-governance/"]
summary: "Amazon SageMaker HyperPod can be administered through Amazon SageMaker Unified Studio to manage infrastructure boundaries, access, shared capacity, and operations across various control layers."
---

# Best practices for Amazon SageMaker HyperPod administration and governance

> [Open the canonical story](<https://aidr.today/58ab0ace?lang=en>)

**Published:** 2026-10-06T15:50:23.000Z
**Category:** Infra
**Topics:** amazon

## Summary

Amazon SageMaker HyperPod can be administered through Amazon SageMaker Unified Studio to manage infrastructure boundaries, access, shared capacity, and operations across various control layers\.

## Sources

- [Story source](<https://aws.amazon.com/blogs/machine-learning/best-practices-for-amazon-sagemaker-hyperpod-administration-and-governance/>)