DeepSeek open-sources DeepInfer, the in-house inference framework behind its production services, with V4.1-Flash support (report)

Verified (fact)

According to Korean media reports, DeepSeek on the 20th fully open-sourced DeepInfer, the inference framework that runs its large-scale production services. According to a GeekNews summary, the released version supports offline inference with the core features needed for large-scale serving, and the supported model is DeepSeek-V4.1-Flash. On the hardware side, it supports NVIDIA SM100-series GPUs and Huawei chips. The official repository and announcement are not included in the source material.

Needs fact-check (claim)

DeepSeek claims DeepInfer delivers high throughput and low latency (as relayed in reports). Specific benchmark figures are not included in the source material.

Why it matters (interpretation)

This is a case of a frontier-level open model developer releasing even the inference stack it uses in production. Developers of existing serving engines such as vLLM and SGLang, as well as those building their own engines, can draw on DeepSeek's optimization techniques. Because it supports both NVIDIA and Huawei hardware, it could also affect the ecosystem for serving on Chinese-made chips.

Sources

• Press 딥시크, AI 추론 비용 낮출 실전 엔진 ‘딥인퍼’ 전격 공개…대규모 추론 최적화 기술 오픈소스화 AI News Korea
• Community DeepSeek, 추론 엔진을 오픈소스로 공개 GeekNews
• Community Deepseek released DeepInfer - Open Source high-performance, large-scale inference framework for DeepSeek models! Reddit

Story thread

1. 2026-10-20 DeepSeek open-sources DeepInfer, the in-house inference framework behind its production services, with V4.1-Flash support (report)
2. 2026-10-21 DeepSeek DeepInfer follow-up: 155 trillion tokens a day on one cluster, KV cache kept for 7 days; researcher frames open vs. closed as 'light and darkness' (report)

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