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This paper introduces DistAttention, a distributed attention algorithm, and DistKV-LLM, a distributed LLM serving system, to improve the performance and resource management of cloud-based LLM services. The system achieved significant throughput improvements and supported longer context lengths compared to existing systems.
https://arxiv.org/abs//2401.02669
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
This paper introduces DistAttention, a distributed attention algorithm, and DistKV-LLM, a distributed LLM serving system, to improve the performance and resource management of cloud-based LLM services. The system achieved significant throughput improvements and supported longer context lengths compared to existing systems.
https://arxiv.org/abs//2401.02669
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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