Unverified50% confidenceFactExact time
PagedAttention supports sharing physical blocks across different sequences, making it suitable for parallel sampling and beam search scenarios, thereby significantly improving throughput.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
UnverifiedMFA's --beam parameter controls the search space width; increasing the beam value explores more paths but increases computation time.64% similarUnverifiedPagedAttention divides KV memory into fixed-size blocks, each request sees contiguous logical blocks mapped through a block table to physical blocks at arbitrary locations, physical blocks are allocated on demand, and the attention kernel is rewritten to follow the block table.63% similar
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