AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation
Attention--Feed-Forward Network (FFN) Disaggregation (AFD) is emerging as a promising architecture for serving Mixture-of-Experts (MoE) language models. While existing AFD systems improve the efficiency of disaggregated execution, they leave a deployment question unanswered: under the same model, workload, time-per-output-token (TPOT) service-level objective (SLO), hardware budget, hardware catalog, and runtime capabilities, does AFD provide higher throughput than the best collocated deployment? Answering this question requires jointly optimizing hardware assignment and deployment organization for both architectures, making exhaustive provisioning prohibitively expensive. We present AFD-L...
| Authors | Chengyu Qiu, Xiao Fu, Fengcun Li et al. |
|---|---|
| Primary category | cs.DC |
| Published | 5 August 2026 |
| Last updated at source | 5 August 2026 |
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