<?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>nuclear-energy on SnoWake.dev - Cloud, AI, GridTech, Security, Drones, 3D Printing & More</title><link>https://snowake.dev/tags/nuclear-energy/index.xml</link><description>Recent content in nuclear-energy on SnoWake.dev - Cloud, AI, GridTech, Security, Drones, 3D Printing & More</description><generator>Hugo -- 0.151.0</generator><language>en-us</language><lastBuildDate>Sun, 30 Nov 2025 12:48:00 -0800</lastBuildDate><atom:link href="https://snowake.dev/tags/nuclear-energy/index.xml" rel="self" type="application/rss+xml"/><item><title>Episode 015: Cloud Failure vs. Nuclear AI: The Resilience Drag</title><link>https://snowake.dev/episodes/rcd-ep015-cloud-failure-vs-nuclear-ai-resilience-drag/</link><pubDate>Sun, 30 Nov 2025 12:48:00 -0800</pubDate><guid>https://snowake.dev/episodes/rcd-ep015-cloud-failure-vs-nuclear-ai-resilience-drag/</guid><description>The race to scale AI and critical infrastructure on the public cloud hit a wall: a 15-hour AWS US East One outage cascaded across 3,500 companies, exposing a stark fragility at the core of hyper-scale regional control planes. This operational risk is amplified by continuous hardware sprints, with AMD's Instinct MI350 delivering a four times performance increase over the prior generation, compelling procurement teams into mandatory annual platform turns. Critical industries are responding by seeking localized autonomy; Pacific Gas and Electric, for example, successfully deployed generative AI on-premises at the Diablo Canyon nuclear plant, where the system searches billions of documents with 98% accuracy. For professionals, this collision mandates a shift toward resilient multi-region designs and integrated cyber-physical security, as organizational silos are now the primary gap exploited by attackers targeting critical infrastructure.</description></item></channel></rss>