DeepInfo
An open-source inference framework released by DeepSeek that employs a heterogeneous GPU-CPU scheduling pipeline and a speculative inference mechanism. It is adapted to a variety of chips in order to reduce the inference cost of large models.
Core Facts
Timeline (last 90 days)
DeepSeek officially stated clearly that the DeepInfo framework does not include advanced features such as the KVCash system, Lütiancong and decoupled-decoding multiple replicas, and load balancing.
On October 20, 2026, DeepSeek open-sourced the inference engine DeepInfo under the Apache 2.0 license; a single node processes about 155 trillion tokens per day, but it only supports SM100 and Ascend 950.
DeepInfo introduces a "confidence pre-judgment" mechanism: a small model guesses the answer in advance, and reliable ones are handed to the large model for review.
The above technical details about DeepInfo mainly come from a single video source, and specific performance figures (such as the 30% savings ratio) remain to be verified by official documentation or more independent testing.
According to what is said in the video, the confidence pre-judgment mechanism directly cuts 30% of wasted work.
DeepInfo adopts a pipeline design in which the GPU and CPU work in alternation, achieving heterogeneous scheduling.
The open-source version of DeepInfer supports only NVIDIA SM100 and Huawei Ascend 950 hardware, and only supports offline inference.
DeepSeek open-sourced the inference framework DeepInfer on October 20, providing optimized operators, multi-card parallelism and asynchronous scheduling capabilities for V4.1 Flash, under the Apache 2.0 license.
All Facts (8)
DeepSeek open-sourced the inference framework DeepInfer on October 20, providing optimized operators, multi-card parallelism and asynchronous scheduling capabilities for V4.1 Flash, under the Apache 2.0 license.
80%UnverifiedDeepSeek officially stated clearly that the DeepInfo framework does not include advanced features such as the KVCash system, Lütiancong and decoupled-decoding multiple replicas, and load balancing.
50%UnverifiedDeepInfo adopts a pipeline design in which the GPU and CPU work in alternation, achieving heterogeneous scheduling.
50%UnverifiedDeepInfo introduces a "confidence pre-judgment" mechanism: a small model guesses the answer in advance, and reliable ones are handed to the large model for review.
50%UnverifiedAccording to what is said in the video, the confidence pre-judgment mechanism directly cuts 30% of wasted work.
50%UnverifiedThe above technical details about DeepInfo mainly come from a single video source, and specific performance figures (such as the 30% savings ratio) remain to be verified by official documentation or more independent testing.
50%UnverifiedThe open-source version of DeepInfer supports only NVIDIA SM100 and Huawei Ascend 950 hardware, and only supports offline inference.
50%UnverifiedOn October 20, 2026, DeepSeek open-sourced the inference engine DeepInfo under the Apache 2.0 license; a single node processes about 155 trillion tokens per day, but it only supports SM100 and Ascend 950.
50%