Kimi unveils new attention: 6x faster inference, 75% less GPU memory
pstAsiatech · x · 2026-08-25
- Breakthrough: Kimi published a new attention architecture that runs LLMs 6x faster and uses 75% less GPU memory than full attention.
- Context: The industry was bottlenecked by standard full attention (expensive compute) and linear attention (poor performance).
- Significance: This architecture solves the performance/cost trade-off for long contexts, potentially enabling faster processing of long documents and massive codebases.
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