Rethinking Heterogeneous System Disaggregation for Subquadratic Attention
Frontier language models are more aggressively using subquadratic attention to reduce the memory footprint and compute requirements during inference while still delivering frontier accuracy. While existing systems make dense attention-centric disaggregated serving decisions, we show that disaggregating inference around the unique arithmetic intensity and memory footprint of subquadratic attention…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
