DeepInfer
Intro
**DeepInfer** is a recently tracked product, model, or tool in public channels. The radar excerpt reads: > DeepSeek open-sourced DeepInfer (Apache-2.0) on 2026-10-20 (~09:00Z / 17:00 BJT): "High-performance, large-scale inference framework for DeepSeek models", the engine that serves DeepSeek-V4.1-Flash in production; supports NVIDIA SM100 GPUs + Huawei Ascend 950 NPUs, distributed inference, speculative decoding, SWA Bounded Replay, structured output; companion token codec deepseek-recipe. Initially built on vLLM. Repo 10.2k★ (+~2k/day). HN #1 'DeepSeek just open-sourced its inference engine' 1,688 pts; @vllm_project thank-you post 1,482♥/47k imp; wide CN/JP/KR coverage (Quartz etc.). Community spin-offs already: 'DeepInfer Studio', 'DeepInfer Reader'. The recorded source label is `X+GitHub+HN`. Use the public URL below to verify the original post or page.
Explain
Based only on the excerpt, **DeepInfer** should be understood from the facts stated there. This write-up does not invent funding amounts, model sizes, or leaderboard scores that are absent from the excerpt or URL metadata. Confirmable points from the excerpt: - DeepSeek open-sourced DeepInfer (Apache-2.0) on 2026-10-20 (~09:00Z / 17:00 BJT): "High-performance, large-scale inference framework for DeepSeek models", the engine that serves DeepSeek-V4.1-Flash in production; supports NVIDIA SM100 GPUs + Huawei Ascend 950 NPUs, distributed inference, speculative decoding, SWA Bounded Replay, structured output; companion token codec deepseek-recipe. - Initially built on vLLM. - Repo 10.2k★ (+~2k/day). - HN #1 'DeepSeek just open-sourced its inference engine' 1,688 pts; @vllm_project thank-you post 1,482♥/47k imp; wide CN/JP/KR coverage (Quartz etc.). - Community spin-offs already: 'DeepInfer Studio', 'DeepInfer Reader'. The radar `score` for this entry is `0.93` (an internal ranking field, not a third-party benchmark score).
Usage
To learn more or try **DeepInfer**, start from public sources: 1. Open the source link: <https://github.com/deepseek-ai/DeepInfer> and check the official description and availability. 2. Follow any access path mentioned in the excerpt (API, open weights, waitlist, in-product entry) using official instructions. 3. Before production use, verify license terms, regional availability, and safety limits yourself; do not assume quotas, prices, or eval scores that the excerpt does not state.