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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2511.17127/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2511.17127/feed.xml" rel="self" type="application/rss+xml" /><item><title>Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design — HN submission</title><link>https://news.ycombinator.com/item?id=46099881</link><guid isPermaLink="false">urn:hackerpapers:submission:2511.17127:46099881</guid><pubDate>Sun, 30 Nov 2025 20:02:36 GMT</pubDate><description>&lt;p&gt;Training Foundation Models on a Full-Stack AMD Platform&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;26 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2511.17127/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System Design — HN submission</title><link>https://news.ycombinator.com/item?id=46071379</link><guid isPermaLink="false">urn:hackerpapers:submission:2511.17127:46071379</guid><pubDate>Thu, 27 Nov 2025 17:28:29 GMT</pubDate><description>&lt;p&gt;Training Foundation Models on a Full-Stack AMD Platform&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2511.17127/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
