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	<title>Santosh Kumar &#8211; Noise</title>
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		<title>Accelerate CPU-based AI inference workloads using Intel AMX on Amazon EC2</title>
		<link>https://noise.getoto.net/2026/03/30/accelerate-cpu-based-ai-inference-workloads-using-intel-amx-on-amazon-ec2/</link>
		
		<dc:creator><![CDATA[Santosh Kumar]]></dc:creator>
		<pubDate>Mon, 30 Mar 2026 16:43:10 +0000</pubDate>
				<category><![CDATA[*Post Types]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[PyTorch on AWS]]></category>
		<category><![CDATA[Technical How-to]]></category>
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					<description><![CDATA[This post shows you how to accelerate your AI inference workloads by up to 76% using Intel Advanced Matrix Extensions (AMX) – an accelerator that uses specialized hardware and instructions to perform matrix operations directly on processor cores – on Amazon Elastic Compute Cloud (Amazon EC2) 8th generation instances. You'll learn when CPU-based inference is cost-effective, how to enable AMX with minimal code changes, and which configurations deliver optimal performance for your models.]]></description>
		
		
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