Trending storyDeveloping

Sparse attention cuts memory bandwidth needs but not memory capacity

1 article1 sourcesince Oct 16Last article 1h ago · Oct 16, 11:02 AM ET

Overview

AISummary of 1 article

SemiAnalysis says sparse attention mainly reduces memory bandwidth demands rather than memory capacity, because all tokens must remain in context.

The firm describes two approaches. HiCache offloads the KV cache from HBM to lower-tier memory, and HiSparse applies caching rules to load only the most relevant tokens into HBM.

Written by AI from the articles below · updated Oct 16, 11:06 AM ET

Check the sources:

Latest developmentOct 16, 11:02 AM ET

Sparse attention cuts memory bandwidth needs but not memory capacity

Article timeline

The articles in this story. Times are ET.

Oct 16

11:02 AM
SemiAnalysis@SemiAnalysis_X
Sparse attention cuts memory bandwidth needs but not memory capacity
AISemiAnalysis says sparse attention mainly reduces memory bandwidth demands, not memory capacity, because all tokens must stay in context. It describes HiCache as offloading KV cache from HBM to lower-tier memory, and HiSparse as applying caching rules to load the most relevant tokens into HBM.

Heat trend

Not enough continuous observations to show a trend yet.