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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SYMPHONY: Improving Memory Management for LLM Inference Workloads · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.16434/</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/2412.16434/feed.xml" rel="self" type="application/rss+xml" /><item><title>SYMPHONY: Improving Memory Management for LLM Inference Workloads — mentioned by iidsample</title><link>https://news.ycombinator.com/item?id=47880415</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.16434:47880415</guid><pubDate>Thu, 23 Apr 2026 19:24:41 GMT</pubDate><description>&lt;p&gt;We at UT-Austin have done some academic work to handle the same challenge. Will be curious if serving engines could modified. https://arxiv.org/abs/2412.16434 . The core idea is we can use user-activity at the client to manage KV cache loading and offloading. Happy to chat more!!&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.16434/"&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>
