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	<title>Franklin Aguinaldo &#8211; Noise</title>
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		<title>Designing a hybrid AI/ML data access strategy with Amazon SageMaker</title>
		<link>https://noise.getoto.net/2023/07/10/designing-a-hybrid-ai-ml-data-access-strategy-with-amazon-sagemaker/</link>
		
		<dc:creator><![CDATA[Franklin Aguinaldo]]></dc:creator>
		<pubDate>Mon, 10 Jul 2023 16:05:42 +0000</pubDate>
				<category><![CDATA[Amazon Elastic File System (EFS)]]></category>
		<category><![CDATA[Amazon File Cache]]></category>
		<category><![CDATA[Amazon FSx for Lustre]]></category>
		<category><![CDATA[Amazon Sagemaker]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS DataSync]]></category>
		<category><![CDATA[AWS Direct Connect]]></category>
		<category><![CDATA[AWS Storage Gateway]]></category>
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					<description><![CDATA[Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often begin their ML journey by experimenting locally on their laptops. Investment in artificial intelligence (AI) is at a different stage in every business organization. Some remain completely on-premises, others are hybrid (both on-premises […]]]></description>
		
		
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