DeepSeek open-sources its inference framework DeepInfer
DeepSeek announced that it is fully open-sourcing its self-developed inference framework DeepInfer, which is used to support large-scale, high-throughput, low-latency operation of DeepSeek-V4.1-Flash. The company said it is sharing its production stack to help the community lower compute costs and energy consumption and make AI more affordable. Nathan Lambert commented that this is a distinctive way to gain model adoption and is good for the community, and noted that the timing is delicate because the government has just banned DeepSeek in federal agencies.
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DeepSeek has open-sourced its own inference framework, giving readers a look at how its production stack supports the high throughput and low latency of DeepSeek-V4.1-Flash.
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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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This is really a wild way to get adoption on your models. Really great for the community, and the timing is hilarious given the govt just banned deepseek in federal agencies.