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		<title>Hardware on libcom.de</title>
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				<title>Local AI: From Desk to Inference Server</title>
				<link>https://www.libcom.de/en/blog/local-ai-from-desktop-to-server/</link>
				<pubDate>Tue, 18 Aug 2026 00:00:00 +0000</pubDate>
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				<description>&lt;p&gt;The most revealing metric for local AI is not printed boldly on the box. It is called memory bandwidth, it is measured in gigabytes per second, and it decides whether a model runs smoothly on your machine or stutters slowly to death. Anyone serious about experimenting with AI who leans on the TOPS and NPU figures is looking in the wrong place. Compute has grown cheap. Bandwidth is the scarce resource.&lt;/p&gt;</description>
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				<title>Hardware must be freed too</title>
				<link>https://www.libcom.de/en/blog/hardware-must-be-freed-too/</link>
				<pubDate>Fri, 07 Aug 2026 00:00:00 +0000</pubDate>
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				<description>&lt;p&gt;There is a moment everyone knows who has ever tried to keep using an older smartphone.&lt;/p&gt;&#xA;&lt;p&gt;The device works. The screen is intact, the battery holds, the hardware would be entirely sufficient for what you need — messages, a map, a call. But the operating system is no longer supported. Apps stop functioning. A banking app refuses service. A messenger shows a warning nobody reads, and then stops working. And suddenly a fully functional piece of technology sits in a drawer — not because it is broken, but because it was &lt;em&gt;obsoleted&lt;/em&gt;.&lt;/p&gt;</description>
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