Unverified50% confidenceBenchmarkExact time
vLLM v0.3.1 delivers deep optimizations for the DeepSeek series of models, with inference accelerated 1.9x in low-concurrency scenarios and throughput increased 5.3x in high-concurrency scenarios.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
Valid until: 10/27/2026
Sources
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Related Claims
UnverifiedEnterprises currently using vLLM to deploy DeepSeek models are advised to evaluate upgrading to the new version as soon as possible; the 1.9x to 5.3x performance improvement is enough to cover the migration cost.79% similarUnverifiedThe vLLM team integrated the new kernels open-sourced by DeepSeek into the inference engine, further improving underlying computational efficiency.79% similarUnverifiedDeepSeek经历了从V2到V3再到R1的模型迭代，模型能力和交互方式都在快速变化75% similarUnverifiedDeepSeek V3 and R1, leveraging the MoE architecture, compress inference costs to a fraction of those of traditional dense models while maintaining top-tier performance.75% similar
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