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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2304.11277/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2304.11277/feed.xml" rel="self" type="application/rss+xml" /><item><title>PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel — mentioned by arilotter</title><link>https://news.ycombinator.com/item?id=41382521</link><guid isPermaLink="false">urn:hackerpapers:mention:2304.11277:41382521</guid><pubDate>Wed, 28 Aug 2024 18:19:36 GMT</pubDate><description>&lt;p&gt;That&amp;#x27;s not something that DisTrO solves, but there&amp;#x27;s plenty of research in that area! See https://arxiv.org/abs/2301.11913 , https://arxiv.org/abs/2206.01288 , https://arxiv.org/abs/2304.11277 etc :)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2304.11277/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
