DeepSeek open-sources DeepInfer inference engine under Apache 2.0
Original title: Deepseek open-sources the inference engine that powers its fastest and cheapest AI model
DeepInfer serves V4.1-Flash on top of vLLM, and deepseek-recipe mirrors official API token processing for self-hosting.
DeepSeek released DeepInfer, the internal inference framework behind its V4.1-Flash model, under the Apache License 2.0. The company says it builds on vLLM with optimized kernels, multi-chip distributed processing, and faster text generation, and that code for future models will also be open source. It is also releasing deepseek-recipe so self-hosted setups match official API token processing. DeepSeek says the aim is lower compute cost, energy use, and price; the report also frames the release as pressure on OpenAI and Anthropic.
Unconfirmed: Claims that the release is politically motivated or a risk to Western providers are commentary, not stated by DeepSeek.
- License is Apache License 2.0.
- DeepInfer is the serving stack for V4.1-Flash.
- deepseek-recipe is meant to replicate official API token handling.
- Future DeepSeek model code is also slated to ship as open source.
- Vendors
- DeepSeek
- Products
- DeepInferdeepseek-recipe
- AI models
- V4.1-Flash
From the original article
1 min read at the-decoder.comDeepseek is open-sourcing DeepInfer, the inference framework behind its fast V4. 1-Flash model. The vLLM-based system cuts compute costs and energy use when running AI models.
By Matthias Bastian · the-decoder.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.