DeepSeek open-sources the inference framework DeepInfer and components such as deepseek-recipe
DeepSeek has open-sourced its in-house inference framework DeepInfer, and simultaneously released key components for deploying DeepSeek models, including deepseek-recipe. DeepInfer already supports large-scale serving of DeepSeek-V4.1-Flash in production, with a focus on high throughput and low latency. DeepSeek said that publishing its production stack is intended to help the community lower compute costs, reduce energy consumption, and enable more organizations to deploy DeepSeek models.
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DeepSeek has disclosed the production inference stack that powers DeepSeek-V4.1-Flash, allowing readers to understand its deployment costs and throughput trade-offs.
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View original post🚀 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
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🚀 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
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We are releasing DeepInfer, deepseek-recipe, and other vital components for serving DeepSeek models in the hope that more companies and organizations around the world will deploy DeepSeek models and profit from doing so.