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	<title>Chris McEvilly &#8211; Noise</title>
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		<title>Running and optimizing small language models on-premises and at the edge</title>
		<link>https://noise.getoto.net/2025/06/23/running-and-optimizing-small-language-models-on-premises-and-at-the-edge/</link>
		
		<dc:creator><![CDATA[Chris McEvilly]]></dc:creator>
		<pubDate>Mon, 23 Jun 2025 16:11:40 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[AWS Outposts]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[As you move your generative AI implementations from prototype to production, you may discover the need to run foundation models (FMs) on-premises or at the edge to address data residency, information security (InfoSec) policy, or low latency requirements. To address users’ data residency, latency, and InfoSec needs, this post provides guidance on deploying generative AI FMs into AWS Local Zones and AWS Outposts.]]></description>
		
		
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