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	<title>Confidential Computing &#8211; Noise</title>
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		<title>Confidential Computing Needs to Go Mainstream</title>
		<link>https://noise.getoto.net/2025/12/04/confidential-computing-needs-to-go-mainstream/</link>
		
		<dc:creator><![CDATA[Patrick Kennedy]]></dc:creator>
		<pubDate>Thu, 04 Dec 2025 21:00:41 +0000</pubDate>
				<category><![CDATA[AMD]]></category>
		<category><![CDATA[AMD EPYC]]></category>
		<category><![CDATA[Confidential Computing]]></category>
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					<description><![CDATA[We discuss confidential computing, how remote attestation and the TEE works, and why this needs to go mainstream in the era of AI
The post Confidential Computing Needs to Go Mainstream appeared first on ServeTheHome.
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		<title>Introducing the Security Design of the AWS Nitro System whitepaper</title>
		<link>https://noise.getoto.net/2022/12/19/introducing-the-security-design-of-the-aws-nitro-system-whitepaper/</link>
		
		<dc:creator><![CDATA[J.D. Bean]]></dc:creator>
		<pubDate>Mon, 19 Dec 2022 20:37:18 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
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		<category><![CDATA[AWS Nitro Enclaves]]></category>
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					<description><![CDATA[AWS recently released a whitepaper on the Security Design of the AWS Nitro System. The Nitro System is a combination of purpose-built server designs, data processors, system management components, and specialized firmware that serves as the underlying virtualization technology that powers all Amazon Elastic Compute Cloud (Amazon EC2) instances launched since early 2018. With the […]]]></description>
		
		
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		<title>Running AI-ML Object Detection Model to Process Confidential Data using Nitro Enclaves</title>
		<link>https://noise.getoto.net/2022/11/15/running-ai-ml-object-detection-model-to-process-confidential-data-using-nitro-enclaves/</link>
		
		<dc:creator><![CDATA[Sheila Busser]]></dc:creator>
		<pubDate>Tue, 15 Nov 2022 20:19:56 +0000</pubDate>
				<category><![CDATA[Amazon EC2]]></category>
		<category><![CDATA[AWS Nitro Enclaves]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Confidential Computing]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[EC2 instances]]></category>
		<category><![CDATA[security]]></category>
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		<category><![CDATA[VPC]]></category>
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					<description><![CDATA[This blog post was written by, Antoine Awad, Solutions Architect, Kevin Taylor, Senior Solutions Architect and Joel Desaulniers, Senior Solutions Architect. Machine Learning (ML) models are used for inferencing of highly sensitive data in many industries such as government, healthcare, financial, and pharmaceutical. These industries require tools and services that protect their data in transit, […]]]></description>
		
		
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