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The paper proposes PagedAttention, an attention algorithm inspired by virtual memory and paging techniques, to address the memory inefficiencies in large language model serving systems. The proposed system, vLLM, achieves near-zero waste in memory and improves throughput by 2-4 times compared to existing systems.
https://arxiv.org/abs//2309.06180
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
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
The paper proposes PagedAttention, an attention algorithm inspired by virtual memory and paging techniques, to address the memory inefficiencies in large language model serving systems. The proposed system, vLLM, achieves near-zero waste in memory and improves throughput by 2-4 times compared to existing systems.
https://arxiv.org/abs//2309.06180
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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