PagedAttention
technology→ stable
PagedAttention is an attention algorithm for efficient serving of large language models (LLMs). It was introduced in 2023 by Woosuk Kwon and colleagues in the paper Efficient Memory Management for Large Language Model Serving with PagedAttention, alongside the vLLM serving engine. The method stores
1Total Mentions
+0.10Sentiment (Neutral)
0.0%Velocity (7d)
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Range: -1 to +1
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W20 | 0.10 | 1 |