arxiv_q13

longcontext-qual/arxiv_q13.txt 1344 chars
"Skip to main content\narXiv is now an independent nonprofit!\nLearn more\n×\nSearch\nSubmit\nDonate\nLog in\nShowing 1–1 of 1 results for all: long context LLM serving disaggregation KV cache memory\nSearch v0.5.6 released 2020-02-24  \nSearch term or terms\nAll fields\nTitle\nAuthor(s)\nAbstract\nComments\nJournal reference\nACM classification\nMSC classification\nReport number\narXiv identifier\nDOI\nORCID\nLicense (URI)\narXiv author ID\nHelp pages\nFull text\nSearch\n Show abstracts  Hide abstracts\nAdvanced Search\n25\n50\n100\n200\n results per page.\nSort results by \nAnnouncement date (newest first)\nAnnouncement date (oldest first)\nSubmission date (newest first)\nSubmission date (oldest first)\nRelevance\nGo\n\narXiv:2606.19746  [pdf, ps, other] \n\n cs.DC\n\nSAC: Disaggregated KV Cache System for Sparse Attention LLMs with CXL\n\nAuthors: Ruiyang Ma, Teng Ma, Junru Li, Hantian Zha, Xuchun Shang, Qingda Hu, Zheng Liu, Xinjun Yang, Tao Ma, Guojie Luo\n\nAbstract: The scaling of LLMs toward… ▽ More\n\nSubmitted 17 June, 2026; originally announced June 2026.\n\nWe gratefully acknowledge support from our major funders, member institutions, and all contributors.\nAbout\n·\nHelp\n·\nContact\n·\nSubscribe\n·\nCopyright\n·\nPrivacy\n·\nAccessibility\n·\nOperational Status\n(opens in new tab)\nMajor funding support from"