<?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 Cozystack</title><link>https://cozystack.io/topics/gpu/</link><description>Recent content in Gpu on Cozystack</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 17 Apr 2026 19:43:16 +0500</lastBuildDate><atom:link href="https://cozystack.io/topics/gpu/index.xml" rel="self" type="application/rss+xml"/><item><title>Cozystack Now Offers GPU Passthrough for AI/ML Virtual Machines</title><link>https://cozystack.io/blog/2025/04/cozystack-now-offers-gpu-passthrough-for-ai-ml-virtual-machines/</link><pubDate>Fri, 18 Apr 2025 00:00:00 +0000</pubDate><guid>https://cozystack.io/blog/2025/04/cozystack-now-offers-gpu-passthrough-for-ai-ml-virtual-machines/</guid><description>&lt;h3 id="cozystack-now-offers-gpu-passthrough-for-aiml-virtualmachines"&gt;&lt;strong&gt;Cozystack Now Offers GPU Passthrough for AI/ML Virtual Machines&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;The open-source cloud platform has introduced direct GPU passthrough in its latest release, enabling users to accelerate AI, machine learning, and other compute-intensive workloads on virtual machines. By leveraging physical GPUs from host nodes, teams can now deploy open-source AI stacks without proprietary cloud dependencies.&lt;/p&gt;
&lt;p&gt;&lt;img src="https://cdn-images-1.medium.com/max/800/1*Z4hqqFhepCzEwJn7WZpJQw.png" alt=""&gt;&lt;/p&gt;
&lt;p&gt;Upcoming features include vGPU resource partitioning and a Kubernetes-native GPU operator for multi-tenant clusters.&lt;/p&gt;
&lt;p&gt;
&lt;a href="https://cozystack.io/docs/operations/virtualization/gpu" target="_blank"&gt;Read the documentation →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Cozystack v0.30: GPU Passthrough, WorkloadMonitor for PVCs and IPs, CPUManager, and Automated Testing in CI</title><link>https://cozystack.io/blog/2025/04/cozystack-v0-30/</link><pubDate>Thu, 10 Apr 2025 00:00:00 +0000</pubDate><guid>https://cozystack.io/blog/2025/04/cozystack-v0-30/</guid><description>&lt;h3 id="cozystack-v030-gpu-passthrough-workloadmonitor-for-pvcs-and-ips-cpumanager-and-automated-testing-in-ci"&gt;Cozystack v0.30: GPU Passthrough, WorkloadMonitor for PVCs and IPs, CPUManager, and Automated Testing in CI&lt;/h3&gt;
&lt;p&gt;Version 0.30 brings GPU capabilities to the platform and improves resource tracking and testing infrastructure.&lt;/p&gt;
&lt;h3 id="major-features-and-improvements"&gt;Major Features and Improvements&lt;/h3&gt;
&lt;h4 id="gpu-passthrough-for-virtual-machines"&gt;GPU Passthrough for Virtual Machines&lt;/h4&gt;
&lt;p&gt;Cozystack now includes the &lt;strong&gt;GPU Operator&lt;/strong&gt; and supports &lt;strong&gt;GPU passthrough&lt;/strong&gt; for virtual machines. Users can assign GPUs to VMs directly from the dashboard, enabling AI/ML workloads, rendering, and other GPU-accelerated tasks.&lt;/p&gt;</description></item></channel></rss>