Expired50% confidenceOpinionExact time
Enterprises 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.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/27/2026(expired)
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UnverifiedvLLM 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.79% similarUnverifiedCurrently, optimization projects for Ascend in frameworks such as vLLM have not yet integrated DeepGEMM.76% similarUnverifiedThe vLLM team integrated the new kernels open-sourced by DeepSeek into the inference engine, further improving underlying computational efficiency.75% similarUnverifiedUsing DeepSpec together with a vLLM startup can halve the cost per inference.69% similar
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