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vLLM details DeepSeek-V4.1-Flash inference optimizations
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What happened
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After DeepSeek-V4.1-Flash shipped, Inferact and the vLLM community spent three weeks optimizing inference for the model. An October 7 report lays out the results against day-one baselines: 1.9x faster at low concurrency, and 5.3x higher throughput under a 150 TPS constraint. The report sums up the agent-scenario throughput gain as roughly 5x. The work is done, and vLLM has published a detailed breakdown of the optimizations.
Written by AI from the coverage · updated 1 hour ago
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Oct 8
- AI HOT · Tips & opinionsvLLM 详解 DeepSeek-V4.1-Flash 优化：智能体场景吞吐提升约 5 倍
Inferact 与 vLLM 社区在 DeepSeek-V4.1-Flash 发布后的三周内完成优化，相比上线首日实现低并发速度提升 1.9×，在 150 TPS 约束下吞吐提升 5.3×。
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