<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Arm64 on 5glinux</title><link>https://blog.5glinux.com/tags/arm64/</link><description>Recent content in Arm64 on 5glinux</description><image><title>5glinux</title><url>https://blog.5glinux.com/images/og-default.jpg</url><link>https://blog.5glinux.com/images/og-default.jpg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 11 Nov 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.5glinux.com/tags/arm64/index.xml" rel="self" type="application/rss+xml"/><item><title>Building an ARM64 AI cluster by hand on SUSE Virtualization: PCI passthrough, NUMA, RDMA and SUSE AI Factory</title><link>https://blog.5glinux.com/posts/arm64-ai-cluster-numa-rdma-ai-factory-suse-virtualization/</link><pubDate>Wed, 11 Nov 2026 00:00:00 +0000</pubDate><guid>https://blog.5glinux.com/posts/arm64-ai-cluster-numa-rdma-ai-factory-suse-virtualization/</guid><description>Three VMs with an NVIDIA A2 and a BlueField-2 DPU passed through, pinned to the right NUMA node, provisioned by one cloud-config, joined to Rancher with Multus + Canal, and running a SUSE AI Factory blueprint. Pod-to-pod RDMA goes from 1.25 Gb/s to 24.51 Gb/s once the placement is right.</description></item></channel></rss>