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vLLM reports 954K tokens/s per GPU on SemiAnalysis AgentX with DeepSeek V4.1 Flash

AIvLLM says it ran DeepSeek V4.1 Flash on SemiAnalysis AgentX using P/D disaggregation and Wide-EP on a GB300 NVL72 rack. The company reports 954K tokens/s per GPU total throughput at 196 tokens/s P90 per user, which it calls 7.9× its single-node result.
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Beyond matching DeepInfer's performance, we also put vLLM to the test on @SemiAnalysis_ AgentX with real-world agentic workloads.

At DeepSeek's off-peak pricing, vLLM delivers $38.96/GPU-hour revenue, with 954K tokens/s/GPU total throughput (cached+input+output) at 196 tokens/s P90 per user.

This is the best DeepSeek-V4.1-Flash result on AgentX ever, powered by recent advancement in vLLM!

Check out our blog for the full optimization story and how to reproduce the results 👇 Enjoy the read.

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Scaled out with P/D disaggregation and Wide-EP on a GB300 NVL72 rack, vLLM serves V4.1-Flash on SemiAnalysis AgentX at 954K tokens/s per GPU with 196 tokens/s P90 per user, 7.9× our single-node result. Our engineering blog covers the work behind it: https://vllm.ai/blog/2026-10-23-deepseek-v41-flash-pd-wide-ep
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Original title: Beyond matching DeepInfer's performance, we also put vLLM to the test on @SemiAnalysis_ AgentX with real-world agentic workloads.