DeepSeek Fully Open-Sources Its Internal Inference Framework DeepInfer
DeepSeek announced that it is fully open-sourcing its internal inference framework DeepInfer, and is simultaneously open-sourcing the production-grade token codec component deepseek-recipe, whose processing logic is fully aligned with the official API. DeepInfer integrates high-performance operators and an inference engine, supports capabilities such as distributed inference, speculative decoding, SWA Bounded Replay, and structured output, and is compatible with NVIDIA and Huawei Ascend platforms. DeepSeek stated that it has already used this framework to deliver high-throughput, low-latency large-scale inference services for DeepSeek V4.1 Flash, and that inference code for future new models and subsequent optimizations will continue to be updated.
Why read this
AI score 80
DeepSeek has open-sourced its internal inference framework and provided codec components aligned with the official API, offering insight into its large-scale inference deployment experience.
Topics
Body · AI translation
On October 20, DeepSeek announced today that, building on its previous open-sourcing of a series of large models, the TileLang compilation tool, and inference operator libraries, it has decided to further fully open-source its internal inference framework DeepInfer.
DeepSeek officially stated that the capability boundaries of large models are defined by the models themselves, but how to provide ultra-large-scale model services at a reasonable cost also depends on an intermediate layer that has long been unknown to the public: the inference framework.
DeepSeek hopes that by sharing its internal deployment experience, it can help developers and enterprise organizations optimize the throughput and latency of large-scale inference, thereby efficiently building private and public cloud deployments, reducing computing costs and energy consumption, and enabling intelligence to reach a broader population at a lower price, achieving true large-model accessibility for all.
Based on DeepInfer, DeepSeek has officially achieved high-throughput, low-latency large-scale inference services for DeepSeek V4.1 Flash. In the future, the inference code for DeepSeek's new models and subsequent optimizations will also be continuously updated.
DeepInfer inference framework: integrates high-performance operators and a deeply optimized inference engine, supports distributed inference, speculative decoding, SWA Bounded Replay, structured output, and other capabilities, and is compatible with NVIDIA and Huawei Ascend platforms.
deepseek-recipe codec component: a simultaneously open-sourced production-grade token codec component, fully aligned with the processing logic of DeepSeek's official API, ensuring that the community obtains an API experience consistent with the official deployment.
The open-source addresses are attached below: