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DeepSeek Open-Sources DeepInfer Inference Framework

DeepSeek announced open-sourcing its in-house DeepInfer inference framework, powering V4.1-Flash at scale to cut compute costs and energy use.

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Key points

  • DeepSeek open-sourced DeepInfer, its in-house inference framework, under the Apache-2.0 license.
  • DeepInfer powers DeepSeek-V4.1-Flash at scale with high throughput and low latency.
  • @vllm_project said DeepInfer was initially built primarily on vllm_project and credited the open-source community.
  • The original thread author said inference code for future DeepSeek models and ongoing optimizations will land in the same place.

Key points and the reaction summary are written by AI from the posts on this page. Check the original post. How we use AI

Original post

DeepSeek @deepseek_ai 1.2M followers

🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 https://t.co/JGAik1kgk0 1/4
4,808likes 569reposts 294replies 159.9Kviews

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What others are saying

2 more
  1. Tianyi Cui @tianyi 1,100

    Tianyi Cui says DeepSeek open-sourced its DeepInfer inference framework under Apache-2.0, with optimized kernels, MoE parallelism, deterministic sampling and structured output.

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  2. vLLM @vllm_project 73

    vLLM thanks DeepSeek for open-sourcing its DeepInfer inference framework under Apache 2.0, built on vLLM, and will improve V4.1 Flash efficiency with its ideas.

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Top replies on X

Reaction on X: Replies are overwhelmingly positive, with users praising the release and one noting DeepSeek keeps giving away its work; another contrasts it with OpenAI staying closed. The original thread author added further technical details about DeepInfer in a follow-up reply.

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From @deepseek_ai, @elshayib_, @realzecod and others. Spam removed, with English and Chinese translations.

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