DeepInfer
What is DeepInfer?
DeepInfer is an open-source inference framework designed for running DeepSeek models at scale. It provides offline inference capabilities with core features needed for production deployment. The project currently supports the DeepSeek-V4.1-Flash model.
The framework includes optimized kernels, parallelism strategies for attention and mixture-of-experts layers, and advanced decoding acceleration through draft tokens and confidence scheduling. It also offers asynchronous batch scheduling, batch-invariant inference, deterministic sampling, and structured output generation using regex or JSON schemas.
DeepInfer runs on Linux systems requiring Python 3.12, GCC 13 or higher, and either NVIDIA CUDA 13 or Huawei Ascend CANN 9.2 hardware. The code is released under the Apache-2.0 license and requires building from source before use.
DeepInfer features
- Optimized inference kernels for attention and MoE layers
- Parallelism support for data parallel and expert parallel execution
- Accelerated decoding with draft tokens and confidence scheduling
- Asynchronous batch scheduling to overlap CPU and device work
- Deterministic sampling and batch-invariant result consistency
- Structured output generation constrained by regex or JSON schemas
- Support for NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs
Who uses DeepInfer and for what
- Running offline inference tests on DeepSeek-V4.1-Flash locally
- Deploying high-throughput model serving pipelines on GPU clusters
- Generating structured JSON responses for automated data extraction
- Benchmarking model performance across different batch sizes
- Testing deterministic sampling behavior for reproducible outputs
DeepInfer FAQ
Is DeepInfer free to use?
Yes, DeepInfer is released under the Apache-2.0 license and can be used without cost. The website does not say.
What hardware does DeepInfer support?
The framework supports NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs. It requires Linux, Python 3.12, GCC 13 or higher, and either CUDA 13 or CANN 9.2 depending on the accelerator.
Does DeepInfer work on Mac or Windows?
The website does not say. The documentation specifies that DeepInfer requires a Linux environment to build and run.
How do I install DeepInfer?
You must build the framework from source after setting up a Python 3.12 environment. The repository provides a build.sh script and configuration files for NVIDIA or Ascend platforms.
Can DeepInfer generate structured outputs?
Yes, the framework allows you to constrain text generation using regular expressions, JSON schemas, or EBNF grammars by passing schema parameters to the sampling function.
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