<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI NAS on AggroFeed</title><link>https://aggrofeed.com/tags/ai-nas/</link><description>Recent content in AI NAS on AggroFeed</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>contact@aggrofeed.com (AggroFeed)</managingEditor><webMaster>contact@aggrofeed.com (AggroFeed)</webMaster><copyright>&amp;copy; 2026 AggroFeed. All rights reserved.</copyright><lastBuildDate>Sat, 02 May 2026 20:31:45 +0000</lastBuildDate><atom:link href="https://aggrofeed.com/tags/ai-nas/index.xml" rel="self" type="application/rss+xml"/><item><title>QNAP Unveils New AI NAS Featuring AMD EPYC and NVIDIA RTX PRO 6000 GPU</title><link>https://aggrofeed.com/pc/qnap-unveils-new-ai-nas-featuring-amd-epyc-and-nvidia-rtx-pro-6000-gpu/</link><pubDate>Sat, 02 May 2026 20:31:45 +0000</pubDate><author>contact@aggrofeed.com (AggroFeed)</author><guid>https://aggrofeed.com/pc/qnap-unveils-new-ai-nas-featuring-amd-epyc-and-nvidia-rtx-pro-6000-gpu/</guid><description>&lt;p&gt;QNAP has launched its latest network-attached storage solution, the QAI-h1290FX, which merges older and newer technology to address the growing demands of artificial intelligence applications. At the heart of this new system is a 16-core AMD EPYC &amp;ldquo;Zen 2&amp;rdquo; processor, specifically the EPYC 7302P, coupled with NVIDIA’s formidable 96GB &lt;a href="https://aggrofeed.com/pc/nvidias-rtx-pro-6000-outperforms-quad-rtx-5090s-in-power-efficiency-for-large-ai/" &gt;RTX PRO&lt;/a&gt; 6000 Blackwell GPU. As first reported by Wccftech, this combination aims to provide robust performance for various AI-driven tasks such as large language models (LLM), retrieval-augmented generation (RAG), and other generative AI applications.&lt;/p&gt;</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://aggrofeed.com/pc/qnap-unveils-new-ai-nas-featuring-amd-epyc-and-nvidia-rtx-pro-6000-gpu/featured.jpg"/></item></channel></rss>