<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Amazon SageMaker HyperPod &#8211; Noise</title>
	<atom:link href="https://noise.getoto.net/tag/amazon-sagemaker-hyperpod/feed/" rel="self" type="application/rss+xml" />
	<link>https://noise.getoto.net</link>
	<description>The collective thoughts of the interwebz</description>
	<lastBuildDate>Wed, 03 Dec 2025 16:07:52 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.8.2</generator>
	<item>
		<title>Introducing checkpointless and elastic training on Amazon SageMaker HyperPod</title>
		<link>https://noise.getoto.net/2025/12/03/introducing-checkpointless-and-elastic-training-on-amazon-sagemaker-hyperpod/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 03 Dec 2025 16:07:52 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f41cd89703ab696d84bc4837aca29a35</guid>

					<description><![CDATA[Accelerate AI model development with new training features that enable instant recovery from failures and automatic scaling based on resource availability.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Introducing Amazon Nova Forge: Build your own frontier models using Nova</title>
		<link>https://noise.getoto.net/2025/12/02/introducing-amazon-nova-forge-build-your-own-frontier-models-using-nova/</link>
		
		<dc:creator><![CDATA[Danilo Poccia]]></dc:creator>
		<pubDate>Tue, 02 Dec 2025 15:53:51 +0000</pubDate>
				<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=bc1a705dd9baf97d18c6a6838de5822d</guid>

					<description><![CDATA[New program gives organizations unprecedented access to Nova model training, enabling them to build custom frontier models that deeply embed domain expertise without the traditional barriers of cost, compute, and time.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>AWS Weekly Roundup: Single GPU P5 instances, Advanced Go Driver, Amazon SageMaker HyperPod and more (August 18, 2025)</title>
		<link>https://noise.getoto.net/2025/08/18/aws-weekly-roundup-single-gpu-p5-instances-advanced-go-driver-amazon-sagemaker-hyperpod-and-more-august-18-2025/</link>
		
		<dc:creator><![CDATA[Prasad Rao]]></dc:creator>
		<pubDate>Mon, 18 Aug 2025 15:39:10 +0000</pubDate>
				<category><![CDATA[Amazon Aurora]]></category>
		<category><![CDATA[Amazon Bedrock]]></category>
		<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<category><![CDATA[Week in Review]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=f2a61f7f7c8873f0308fa9efba47d15b</guid>

					<description><![CDATA[Let me start this week’s update with something I’m especially excited about – the upcoming BeSA (Become a Solutions Architect) cohort. BeSA is a free mentoring program that I host along with a few other AWS employees on a volunteer basis to help people excel in their cloud careers. Last week, the instructors’ lineup was […]]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Announcing Amazon Nova customization in Amazon SageMaker AI</title>
		<link>https://noise.getoto.net/2025/07/16/announcing-amazon-nova-customization-in-amazon-sagemaker-ai/</link>
		
		<dc:creator><![CDATA[Betty Zheng (郑予彬)]]></dc:creator>
		<pubDate>Wed, 16 Jul 2025 15:11:39 +0000</pubDate>
				<category><![CDATA[Amazon Nova]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker AI]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS Summit New York]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=83fe02573155d803df9bdc57291f77ca</guid>

					<description><![CDATA[AWS now enables extensive customization of Amazon Nova foundation models through SageMaker AI with techniques including continued pre-training, supervised fine-tuning, direct preference optimization, reinforcement learning from human feedback and model distillation to better address domain-specific requirements across industries.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Accelerate foundation model training and fine-tuning with new Amazon SageMaker HyperPod recipes</title>
		<link>https://noise.getoto.net/2024/12/04/accelerate-foundation-model-training-and-fine-tuning-with-new-amazon-sagemaker-hyperpod-recipes/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 18:21:16 +0000</pubDate>
				<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[Featured]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8c71a1d221af547422597a8014e2a717</guid>

					<description><![CDATA[Amazon SageMaker HyperPod recipes help customers get started with training and fine-tuning popular publicly available foundation models, like Llama 3.1 405B, in just minutes with state-of-the-art performance.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Meet your training timelines and budgets with new Amazon SageMaker HyperPod flexible training plans</title>
		<link>https://noise.getoto.net/2024/12/04/meet-your-training-timelines-and-budgets-with-new-amazon-sagemaker-hyperpod-flexible-training-plans/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 16:57:34 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=ccab269975e3b0f60757494620d30b5c</guid>

					<description><![CDATA[Unlock efficient large model training with SageMaker HyperPod flexible training plans - find optimal compute resources and complete training within timelines and budgets.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Maximize accelerator utilization for model development with new Amazon SageMaker HyperPod task governance</title>
		<link>https://noise.getoto.net/2024/12/04/maximize-accelerator-utilization-for-model-development-with-new-amazon-sagemaker-hyperpod-task-governance/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 16:57:30 +0000</pubDate>
				<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Amazon SageMaker HyperPod]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS re:Invent]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[launch]]></category>
		<category><![CDATA[news]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=85376ebe0125a94ced8b8f4335461dbe</guid>

					<description><![CDATA[Enable priority-based resource allocation, fair-share utilization, and automated task preemption for optimal compute utilization across teams.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
	</channel>
</rss>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/

Object Caching 53/123 objects using Memcached
Page Caching using Disk: Enhanced 
Lazy Loading (feed)
Database Caching using Memcached

Served from: noise.getoto.net @ 2025-12-06 18:34:43 by W3 Total Cache
-->