<?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 Under the Model</title><link>https://oguzpastirmaci.com/tags/gpu/</link><description>Recent content in Gpu on Under the Model</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 12 Nov 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://oguzpastirmaci.com/tags/gpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Getting RDMA into Kubernetes Pods, Part 1: hostNetwork</title><link>https://oguzpastirmaci.com/posts/getting-rdma-into-kubernetes-pods-part-1-hostnetwork/</link><pubDate>Thu, 12 Nov 2026 00:00:00 +0000</pubDate><guid>https://oguzpastirmaci.com/posts/getting-rdma-into-kubernetes-pods-part-1-hostnetwork/</guid><description>&lt;p&gt;There are four common ways to give a Kubernetes pod RDMA for GPU training:&lt;/p&gt;&#10;&lt;ol&gt;&#10;&lt;li&gt;The pod shares the network of the node with &lt;code&gt;hostNetwork&lt;/code&gt;.&lt;/li&gt;&#10;&lt;li&gt;The pod gets an SR-IOV virtual function (VF) on each rail.&lt;/li&gt;&#10;&lt;li&gt;The pod gets the RDMA devices of the rails and an IPvlan interface on each rail.&lt;/li&gt;&#10;&lt;li&gt;A DRA driver gives the pod its own interface on each rail.&lt;/li&gt;&#10;&lt;/ol&gt;&#10;&lt;p&gt;This series tests all four on the same two A100 nodes, so the results can be compared.&lt;/p&gt;</description></item></channel></rss>