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		<title>AWS Weekly Roundup: Strands Agents 1M+ downloads, Cloud Club Captain, AI Agent Hackathon, and more (September 15, 2025)</title>
		<link>https://noise.getoto.net/2025/09/15/aws-weekly-roundup-strands-agents-1m-downloads-cloud-club-captain-ai-agent-hackathon-and-more-september-15-2025/</link>
		
		<dc:creator><![CDATA[Channy Yun (윤석찬)]]></dc:creator>
		<pubDate>Mon, 15 Sep 2025 16:45:14 +0000</pubDate>
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					<description><![CDATA[Last week, Strands Agents, AWS open source for agentic AI SDK just hit 1 million downloads and earned 3,000+ GitHub Stars less than 4 months since launching as a preview in May 2025. With Strands Agents, you can build production-ready, multi-agent AI systems in a few lines of code. We’ve continuously improved features including support […]]]></description>
		
		
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		<title>Top Architecture Blog Posts of 2024</title>
		<link>https://noise.getoto.net/2025/01/23/top-architecture-blog-posts-of-2024/</link>
		
		<dc:creator><![CDATA[Andrea Courtright]]></dc:creator>
		<pubDate>Thu, 23 Jan 2025 16:59:36 +0000</pubDate>
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					<description><![CDATA[Well, it’s been another historic year! We’ve watched in awe as the use of real-world generative AI has changed the tech landscape, and while we at the Architecture Blog happily participated, we also made every effort to stay true to our channel’s original scope, and your readership this last year has proven that decision was […]]]></description>
		
		
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		<title>Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available</title>
		<link>https://noise.getoto.net/2024/12/03/amazon-ec2-trn2-instances-and-trn2-ultraservers-for-ai-ml-training-and-inference-are-now-available/</link>
		
		<dc:creator><![CDATA[Jeff Barr]]></dc:creator>
		<pubDate>Tue, 03 Dec 2024 16:24:31 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
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		<category><![CDATA[AWS re:Invent]]></category>
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					<description><![CDATA[With 4x faster speed, 4x more memory bandwidth, 3x higher memory capacity than predecessors, and 30% higher floating-point operations, these instances deliver unprecedented compute power for ML training and gen AI.]]></description>
		
		
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		<title>Let’s Architect! Learn About Machine Learning on AWS</title>
		<link>https://noise.getoto.net/2024/05/30/lets-architect-learn-about-machine-learning-on-aws/</link>
		
		<dc:creator><![CDATA[Luca Mezzalira]]></dc:creator>
		<pubDate>Thu, 30 May 2024 15:01:20 +0000</pubDate>
				<category><![CDATA[Amazon Machine Learning]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[AWS Inferentia]]></category>
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					<description><![CDATA[A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can […]]]></description>
		
		
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