DeepSeek Open-Sources DeepInfer Inference Framework

On October 20, DeepSeek officially announced the full open-sourcing of its internal high-performance inference framework DeepInfer under the Apache-2.0 license, along with real-world prefill/decode throughput benchmarks. This is the same inference stack powering DeepSeek-V4.1-Flash in large-scale production, and the company says the goal is to help the community cut compute costs and energy use, making AI cheaper. The initial release offers offline inference, and the GitHub repo quickly picked up roughly 1.1k–2k stars and 150 forks, signaling strong community interest.

Confirmed

• DeepInfer is open-sourced under Apache-2.0, currently supports DeepSeek-V4.1-Flash, and ships first with offline inference capabilities (m1, m6, m7)
• The tech stack includes high-performance operator kernels and an optimized inference engine, distributed inference with speculative decoding, SWA Bounded Replay, and structured output support (m4)
• Official benchmarks: prefill within a scale-up domain of 4 SM100 GPUs reaches up to about 65,536 tokens/s/GPU of uncached input throughput (batch 65,536) (m5)
• The team summarized the release as "Open models. Open kernels. Open inference." and pledged to keep working with the community on large-scale inference efficiency, whether on private deployments or public clouds (m3)
• Related community projects such as gufo, halogen, strixite, and Strata already exist; DeepInfer complements them as the official in-house solution (m2)

Why it matters

DeepInfer is the real inference stack behind DeepSeek's own production models, not a paper project, so the community can directly reuse inference optimizations proven at scale. The team has made clear that DeepSeek will keep opening up capabilities, and combined with previously released models and kernels, the company is building a complete open inference ecosystem that could further drive down large-scale inference costs industry-wide.

2026-10-20 ~ 2026-10-20 · 21 related posts

• [source] DeepSeek fully open-sources its internal inference framework DeepInfer, supporting NVIDIA and Ascend — DeepSeek · 2026-10-20
• DeepSeek launches DeepInfer with open prefill/decode benchmarks and reproducible scripts — Xianbao_QIAN · 2026-10-20
• DeepSeek open-sources DeepInfer, the inference framework powering its production services — jiqizhixin · 2026-10-20
• [source] DeepSeek open-sources DeepInfer, the production inference framework behind DeepSeek-V4.1-Flash — deepseek_ai · 2026-10-20
• Inside DeepInfer: high-performance kernels, distributed inference and speculative decoding — deepseek_ai · 2026-10-20
• [source] DeepSeek also open-sources deepseek-recipe, replicating official API token encoding logic — deepseek_ai · 2026-10-20
• DeepSeek closes open-source series: open models, open kernels, open inference — deepseek_ai · 2026-10-20
• DeepSeek open-sources DeepInfer, a high-performance inference framework for its models — feelspeaceman · 2026-10-20
• DeepSeek open-sources DeepInfer inference stack: 155T tokens/day, 96% cache hit rate — 赛博禅心 · 2026-10-20
• DeepSeek open-sources DeepInfer inference framework; vLLM thanks them and plans to fold in its ideas — woosuk_k · 2026-10-20
• DeepSeek open-sources DeepInfer as DHS orders federal agencies to purge it — Polymarket · 2026-10-20

10 near-duplicate retellings: zhyncs42 · MaziyarPanahi · 智东西 · mitsuhiko · aigclink · teortaxesTex · yogthos · Apprehensive_Rub3897 · Promptmethus · rohanpaul_ai