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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.09527/</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/2601.09527/feed.xml" rel="self" type="application/rss+xml" /><item><title>Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs — HN submission</title><link>https://news.ycombinator.com/item?id=47361528</link><guid isPermaLink="false">urn:hackerpapers:submission:2601.09527:47361528</guid><pubDate>Fri, 13 Mar 2026 07:17:13 GMT</pubDate><description>&lt;p&gt;Private LLM Inference on Consumer Blackwell GPUs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2601.09527/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs — HN submission</title><link>https://news.ycombinator.com/item?id=46661432</link><guid isPermaLink="false">urn:hackerpapers:submission:2601.09527:46661432</guid><pubDate>Sat, 17 Jan 2026 19:54:05 GMT</pubDate><description>&lt;p&gt;Private LLM Inference on Consumer Blackwell GPUs&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2601.09527/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
