<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Energy on Aabhash Dhakal</title><link>https://aabhash.de/tags/energy/</link><description>Recent content in Energy on Aabhash Dhakal</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 10 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aabhash.de/tags/energy/index.xml" rel="self" type="application/rss+xml"/><item><title>Nepal: The Next Frontier for AI Infrastructure?</title><link>https://aabhash.de/articles/nepal-data-center/</link><pubDate>Fri, 10 Apr 2026 00:00:00 +0000</pubDate><guid>https://aabhash.de/articles/nepal-data-center/</guid><description>&lt;div style="text-align:center;margin-bottom:48px">
&lt;div style="font-size:11px;letter-spacing:4px;color:#999;text-transform:uppercase;font-family:sans-serif;margin-bottom:14px">The Data Center Trilemma&lt;/div>
&lt;p style="font-size:17px;max-width:600px;margin:0 auto">Every data center on Earth runs on three inputs: power, cooling, and connectivity. The industry has spent two decades optimizing the third while taking the first two for granted. AI changed that equation overnight.&lt;/p>
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&lt;p>Training a single frontier AI model now consumes as much electricity as a small city. Rack densities have surged from 8–15 kW to 50–130 kW. Cooling bills are the fastest-growing line item on every operator&amp;rsquo;s P&amp;amp;L. And the grids feeding the world&amp;rsquo;s largest data center markets (Northern Virginia, Singapore, Johor) are buckling under the load, with some now threatening moratoriums on new builds.&lt;/p></description></item></channel></rss>