DeepSeek open-sources DeepInfer inference framework
10/22/2026 — 10/24, 16:24·2 sources (all)·3 reports (all)
Key takeaways
- DeepSeek open-sourced DeepInfer, the inference framework powering its online services, saying a single cluster can process 155 trillion toke…
Background & analysis
On the afternoon of 22 October 2026, a post titled "DeepSeek Open-Sources Its Production-Grade Inference Framework DeepInfer" appeared on Juejin, reporting that DeepSeek has released DeepInfer, the inference framework powering its online services. Citing the official announcement, the post claims that a single DeepInfer cluster processes 155 trillion tokens per day and that, at off-peak electricity rates, each GPU generates $38 in hourly revenue. The author says their first reaction to these figures was to open the source code and look around.
Earlier that same day, at 10:24, Juejin had already published "The Complete DeepInfer Guide: DeepSeek's Inference Framework — Principles and Deployment," a tutorial walking through DeepInfer's principles, architecture, and deployment practice. The tutorial argues that DeepInfer's value lies not in how many models it supports but in how deeply it is customized to make a single model run fast. No further detail on the release, the codebase, or the performance claims has been made available since these two posts, and DeepInfer's documentation or repository contents are not described in the available material.
AI-generated from 2 reports · updated 4 hours ago
Latest turnDeepSeek has open-sourced DeepInfer, the inference framework it runs in production, saying a single cluster handles 155 trillion tokens per day and earns $38 of revenue per GPU-hour at off-peak power prices. The article's author says the first thing they did after seeing those numbers was dig into the code.
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Reports on this story headlines open the original
DeepSeek has open-sourced DeepInfer, the inference framework it runs in production, saying a single cluster handles 155 trillion tokens per day and earns $38 of revenue per GPU-hour at off-peak power prices. The article's author says the first thing they did after seeing those numbers was dig into the code.
掘金AI score 68A tutorial on Juejin walks through DeepInfer, DeepSeek's internal inference framework, covering its principles, architecture, and deployment. It argues that DeepInfer's value lies not in how many models it supports but in how deeply it is willing to customize for running a single model fast.
掘金AI score 58
DeepSeek has open-sourced DeepInfer, the inference engine behind its production service, and benchmarked it against vLLM on a single 8×B300 node. Tests show vLLM delivers faster decode speeds and a prefill throughput peaking at 658K tokens/s.
DEV Community · AIAI score 62
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