<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gpu on Build. Run. Repeat.</title><link>https://buildrunrepeat.com/tags/gpu/</link><description>Recent content in Gpu on Build. Run. Repeat.</description><generator>Hugo</generator><language>en</language><lastBuildDate>Wed, 01 Mar 2023 09:00:00 -0400</lastBuildDate><atom:link href="https://buildrunrepeat.com/tags/gpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Tanzu Kubernetes Grid GPU Integration</title><link>https://buildrunrepeat.com/posts/tkg-gpu-integration/</link><pubDate>Wed, 01 Mar 2023 09:00:00 -0400</pubDate><guid>https://buildrunrepeat.com/posts/tkg-gpu-integration/</guid><description>&lt;p&gt;I recently had to demonstrate Tanzu Kubernetes Grid and its GPU integration capabilities.
Developing a good use case and assembling the demo required some preliminary research.&lt;/p&gt;
&lt;p&gt;During my research, I reached out to Jay Vyas, staff engineer at VMware, SIG Windows lead for Kubernetes, a Kubernetes legend, and an awesome guy in general. :) For those who don&amp;rsquo;t know Jay, he is also one of the authors of the fantastic book &lt;code&gt;Core Kubernetes&lt;/code&gt; (look it up!).&lt;/p&gt;</description></item></channel></rss>