Audience
Developers and infrastructure teams deploying or evaluating DeepSeek model inference on supported accelerator hardware.
About DeepInfer
DeepInfer is an open-source inference framework for running DeepSeek language models on Linux systems with supported NVIDIA or Huawei Ascend accelerators. It provides offline inference and runtime components for model execution, optimized kernels, distributed parallelism, asynchronous batch scheduling, speculative decoding, deterministic generation, and structured outputs such as JSON Schema, regular expressions, and EBNF formats. The project documents DeepSeek-V4.1-Flash support and includes build instructions, configuration guidance, examples, and evaluation tools. It is intended for developers and infrastructure teams building or evaluating self-managed inference deployments. Its repository notes that production services may require additional KV-cache, prefill/decode disaggregation, and load-balancing components not included in this release.
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Pricing
Free Version:
Free Version available.
Integrations
API:
Yes, DeepInfer offers API access
No integrations listed.
Company Information
DeepSeek
Founded: 2023
China
github.com/deepseek-ai/DeepInfer
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Product Details
Platforms Supported
Linux
On-Premises
Training
Documentation
DeepInfer Frequently Asked Questions
Q: What kinds of users and organization types does DeepInfer work with?
DeepInfer works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does DeepInfer support in their product?
DeepInfer supports these languages: English.
Q: Does DeepInfer have an API?
Yes, DeepInfer has an API.
Q: What type of training does DeepInfer provide?
DeepInfer provides training in the form of documentation.
