DeepInfer is DeepSeek's open-source inference framework, the software that runs its models to answer requests for its large cloud services.
In plain words
Training builds a model; inference is using it to answer people, and at DeepSeek's scale that is a big engineering job. DeepInfer is the engine behind the DeepSeek V4.1 Flash service. It spreads one model across many chips, guesses several tokens ahead and then checks them to speed up replies, and can force output to follow a JSON schema. It runs on NVIDIA GPUs and Huawei Ascend chips. The first open release supports DeepSeek-V4.1-Flash and leaves out parts a full service needs, such as a cache system and load balancing.
A quick example
Imagine a research lab with a cluster of new NVIDIA GPUs that wants to run DeepSeek-V4.1-Flash itself. It builds DeepInfer for NVIDIA, points it at the model weights and runs a batch of prompts offline to compare answers and speed.
Where you'll meet it
- Running DeepSeek models on your own GPU or Ascend clusters.
- Studying how a large AI service is served at scale.
Related
Sources
- Docsdeepseek-ai/DeepInfer, DeepSeek (GitHub) · read 20 Oct 2026
- DocsDeepSeek V4.1 Flash Inference Deployment Q&A, DeepSeek (GitHub) · read 20 Oct 2026
Checked by WhatIsAI against the sources above · 20 Oct 2026. A full five-minute explainer with a diagram may follow. Spotted an error? Report it.