<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Events on Empowering European Innovation</title><link>https://beta.safespring.eu/tags/events/</link><description>Recent content in Events on Empowering European Innovation</description><generator>Hugo</generator><language>en-GB</language><copyright>2025 Safespring</copyright><lastBuildDate>Tue, 23 Jun 2026 18:40:00 +0200</lastBuildDate><atom:link href="https://beta.safespring.eu/tags/events/index.xml" rel="self" type="application/rss+xml"/><item><title>KubeCon + CloudNativeCon Europe 2026 — Amsterdam Recap</title><link>https://beta.safespring.eu/perspectives/kubecon--cloudnativecon-europe-2026-amsterdam-recap/</link><pubDate>Thu, 02 Apr 2026 00:00:00 +0000</pubDate><guid>https://beta.safespring.eu/perspectives/kubecon--cloudnativecon-europe-2026-amsterdam-recap/</guid><description>&lt;div class="ingress"&gt;&lt;p&gt;
The central theme for this year's KubeCon was unmistakable: cloud native infrastructure is AI infrastructure, and the ecosystem is reorganizing around that reality. Of course, Safespring was onsite and enjoying the latest from the industry.
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&lt;h2 id="keynote-highlights"&gt;Keynote Highlights&lt;/h2&gt;
&lt;p&gt;The opening keynotes set the tone with a clear macro forecast: in 2023, roughly two-thirds of AI compute went to training and one-third to inference. By the end of 2026, that ratio is expected to flip, with inference compute demand projected to reach 93.3 gigawatts by decade&amp;rsquo;s end. The message was direct — Kubernetes is becoming the control plane for AI infrastructure, and the CNCF ecosystem is positioning itself to own that layer. And perhaps finally the operating system for the datacenter.&lt;/p&gt;</description></item></channel></rss>