DeepSeek has open-sourced DeepInfer, its in-house inference framework, which it says powers DeepSeek-V4.1-Flash at scale with high throughput and low latency. SGLang congratulates DeepSeek and says it is excited about the large-batch and multi-GPU inference work and plans to bring some of those ideas into SGLang.
The post links to DeepSeek's open-source inference framework and its production use, which is useful for teams weighing serving cost and throughput.
Congrats to @deepseek_ai on the launch of DeepInfer! 🎉
Great to see the engineering behind DeepSeek's production inference stack being open-sourced, and thanks for the shoutout to the SGLang community 🧡
We're especially excited about the work on large-batch and multi-GPU inference. Can't wait to dig deeper and bring some of these ideas into SGLang!
🚀 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. 🔗 http://github.com/deepseek-ai/DeepInfer 1/4View quoted post on X
Source: SGLang · x.comPublished · added here
