<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>news on Ritesh Sonawane</title><link>https://riteshsonawane.com/tags/news/</link><description>Recent content in news on Ritesh Sonawane</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 08 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://riteshsonawane.com/tags/news/index.xml" rel="self" type="application/rss+xml"/><item><title>NVIDIA DSX</title><link>https://riteshsonawane.com/blog/nvidia-dsx/</link><pubDate>Mon, 08 Jun 2026 00:00:00 +0000</pubDate><guid>https://riteshsonawane.com/blog/nvidia-dsx/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;For years, building an AI data center meant assembling a puzzle from dozens of vendors, each speaking a different language. Chips from one company, software from another, cooling from a third, and a facility design that nobody had fully validated end to end. The result was expensive guesswork at massive scale.&lt;/p&gt;
&lt;p&gt;NVIDIA&amp;rsquo;s answer to this is the &lt;strong&gt;DSX platform&lt;/strong&gt;, announced at GTC Taipei on May 31, 2026. It is a full-stack, codesigned framework that gives infrastructure builders a single validated playbook to design, deploy, and operate AI factories at scale. The goal is simple: turn every megawatt into more intelligence, at the lowest possible token cost.&lt;/p&gt;</description></item></channel></rss>