vLLM ships an experimental AFD plugin to split MoE attention and FFN serving
AccBalanced · x · 2026-07-25
- A new experimental vLLM AFD Plugin is being shipped by the vllm-project with support from Ascend & vLLM, StepFunai, AntGroup, and FastAFD.
- It implements Attention-FFN Disaggregation for MoE serving: attention and expert/FFN workloads are separated into different services so they can be scaled independently.
- The plugin keeps the same vLLM serving surface and avoids forking the stack.
- The post notes support for both NVIDIA GPUs and Ascend NPUs.
Related event: vLLM Releases Experimental AFD Plugin to Boost MoE Inference(3 posts)→
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