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PagedAttention
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Overview
Developed byUC Berkeley
Maintained byvLLM development team
Founded2023
LicenseApache 2.0
Open source✓ Open Source
Use casememory-efficient attention mechanism for large language models
Integrates with
vLLM
Knowledge graph stats
Claims25
Avg confidence95%
Avg freshness100%
Last updatedUpdated 4 days ago
Trust distribution
100% unverified
Governance
Not assessed
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PagedAttention

concept

Memory management algorithm for attention computation inspired by virtual memory paging systems

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publication year

ValueTrustConfidenceFreshnessSources
2023○UnverifiedHighFresh1

open source

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

implemented by

ValueTrustConfidenceFreshnessSources
vLLM○UnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
memory-efficient attention mechanism for large language models○UnverifiedHighFresh1
memory-efficient attention computation for large language models○UnverifiedHighFresh1

optimizes

ValueTrustConfidenceFreshnessSources
KV cache memory usage○UnverifiedHighFresh1

integrates with

ValueTrustConfidenceFreshnessSources
vLLM○UnverifiedHighFresh1

supports model

ValueTrustConfidenceFreshnessSources
transformer architectures○UnverifiedHighFresh1
transformer-based language models○UnverifiedHighFresh1

technique type

ValueTrustConfidenceFreshnessSources
memory optimization algorithm○UnverifiedHighFresh1

solves problem

ValueTrustConfidenceFreshnessSources
GPU memory bottlenecks in transformer inference○UnverifiedHighFresh1

enables

ValueTrustConfidenceFreshnessSources
higher throughput LLM serving○UnverifiedHighFresh1

based on

ValueTrustConfidenceFreshnessSources
virtual memory paging concept○UnverifiedHighFresh1
virtual memory paging concepts○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
UC Berkeley○UnverifiedHighFresh1

reduces

ValueTrustConfidenceFreshnessSources
memory fragmentation○UnverifiedHighFresh1

alternative to

ValueTrustConfidenceFreshnessSources
traditional attention memory management○UnverifiedHighFresh1
standard attention mechanisms○UnverifiedHighFresh1
traditional attention mechanisms○UnverifiedModerateFresh1

founded year

ValueTrustConfidenceFreshnessSources
2023○UnverifiedHighFresh1

license type

ValueTrustConfidenceFreshnessSources
Apache 2.0○UnverifiedHighFresh1
Apache License 2.0○UnverifiedHighFresh1

maintained by

ValueTrustConfidenceFreshnessSources
vLLM development team○UnverifiedHighFresh1

requires

ValueTrustConfidenceFreshnessSources
CUDA-compatible GPU○UnverifiedModerateFresh1

competes with

ValueTrustConfidenceFreshnessSources
FlashAttention○UnverifiedModerateFresh1

Alternatives & Similar Tools

traditional attention memory management
alternative to
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standard attention mechanisms
alternative to
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traditional attention mechanisms
alternative to
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FlashAttention
competes with
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Commonly Used With

vLLM

Related entities

Graph Insights

8 entities depend on PagedAttention
vLLM
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Claim count: 25Last updated: 4/6/2026Edit history