AI demand may not be the real constraint on the data-center boom. Credit might b

<p>Festus, Missouri just gave us a cleaner read on <strong>data center backlash</strong> than most national trend pieces do. A city council approved a roughly <strong>$6

<p><strong>TL;DR:</strong> SpaceX has revealed plans to build orbital AI data centers — a constellation of AI compute satellites that could eventually number in the millions — as

<!-- SC_OFF --><div class="md"><p>In my opinion, the biggest bottleneck for AI and its future capabilities is not data, models, or funding it is data centers. More specifically,

<blockquote> <p>Your best feature may be destroying your margins, and your engineering team has no idea.</p> </blockquote> <p><strong>This article isn’t about AI as a productivity

<!-- SC_OFF --><div class="md"><p>Just read an interesting analysis about the real cost behind the AI boom, and honestly it changed how I think about “AI scaling forever.”</p>

<!-- SC_OFF --><div class="md"><p>Data center power demand is expected to grow +220% from 2023 levels, or +905 TWh, to a record 1,350 TWh by 2030, according to Goldman Sachs. This

&#32; submitted by &#32; <a href="https://www.reddit.com/user/talkingatoms"> /u/talkingatoms </a> <br /> <span><a

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