<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Procurement on Greycloak</title><link>https://greycloak.com/tags/procurement/</link><description>Recent content in Procurement on Greycloak</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><copyright>Copyright © 2023, Vince Wadhwani; all rights reserved.</copyright><lastBuildDate>Fri, 18 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://greycloak.com/tags/procurement/index.xml" rel="self" type="application/rss+xml"/><item><title>The AI Compute Squeeze Is Getting Real</title><link>https://greycloak.com/post/2026-09-18-compute-buildout-accelerates-as-constraints-bite/</link><pubDate>Fri, 18 Sep 2026 00:00:00 +0000</pubDate><guid>https://greycloak.com/post/2026-09-18-compute-buildout-accelerates-as-constraints-bite/</guid><description>
&lt;p&gt;If your product or roadmap assumes AI tokens will keep getting cheaper and capacity will always be sitting there when you need it, this week gave you three reasons to revisit that assumption. A large model provider hit a compute wall and paused new sign-ups to its top tier. A hyperscaler committed to tripling its data center footprint. And the Federal Reserve raised interest rates for the first time in three years, which changes the math on the debt paying for all of it. For anyone budgeting AI spend or designing systems that depend on a specific model at a specific price, the planning window just got shorter.&lt;/p&gt;</description></item></channel></rss>