<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>grid-balancing on SnoWake.dev - Cloud, AI, GridTech, Security, Drones, 3D Printing & More</title><link>https://snowake.dev/tags/grid-balancing/index.xml</link><description>Recent content in grid-balancing on SnoWake.dev - Cloud, AI, GridTech, Security, Drones, 3D Printing & More</description><generator>Hugo -- 0.151.0</generator><language>en-us</language><lastBuildDate>Sun, 26 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://snowake.dev/tags/grid-balancing/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Compute Is a DER, Not a Crisis</title><link>https://snowake.dev/posts/ai-compute-is-a-der/</link><pubDate>Sun, 26 Apr 2026 00:00:00 +0000</pubDate><guid>https://snowake.dev/posts/ai-compute-is-a-der/</guid><description>Most takes on AI's collision with the grid treat compute as fixed demand and ask how to grow supply. The more interesting question is what happens when you treat AI workloads as a Distributed Energy Resource — dispatchable, time-shiftable, geographically mobile, and pairable with on-site storage.</description></item></channel></rss>