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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NITI: Training Integer Neural Networks Using Integer-only Arithmetic · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2009.13108/</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/2009.13108/feed.xml" rel="self" type="application/rss+xml" /><item><title>NITI: Training Integer Neural Networks Using Integer-only Arithmetic — mentioned by sbierwagen</title><link>https://news.ycombinator.com/item?id=32560805</link><guid isPermaLink="false">urn:hackerpapers:mention:2009.13108:32560805</guid><pubDate>Tue, 23 Aug 2022 05:35:32 GMT</pubDate><description>&lt;p&gt;If you can train with 8 bit ints, then FP8 should be fine: https://arxiv.org/abs/2009.13108 A group at IBM has been claiming for years that you can train with as little as FP4: https://papers.nips.cc/paper/2020/file/13b919438259814cd5be8...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2009.13108/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
