@NousResearch Assigning dedicated resources to different types of workloads is an increasingly popular system optimizati…
SemiAnalysis Twitter · SemiAnalysis (@SemiAnalysis_) · 2026-05-17
SemiAnalysis highlights a new disaggregation technique from @haoailab—inventors of industry-standard prefill-decode disaggregation—framing it within a broader trend of assigning dedicated compute to distinct LLM serving workload types.
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Topics: llm-servinginference-optimizationdisaggregationai-systems
Claims
- Assigning dedicated hardware resources to different workload types is an increasingly popular LLM serving optimization strategy.
- Attention-FFN disaggregation, as implemented by StepFun AI, is a current example of this trend.
- @haoailab invented the now industry-standard prefill-decode (PD) disaggregation and has since developed an additional disaggregation technique.
Key quotes
Assigning dedicated resources to different types of workloads is an increasingly popular system optimization technique
After inventing the now industry standard PD disaggregation, @haoailab came back with another disaggregation