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20 October 2026
DeepSeek AI releases DeepInfer: a framework for high-efficiency inference
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New-ZZZ desk
X @deepseek_ai · 2 weeks ago
DeepSeek AI introduced DeepInfer—its internal inference framework—which is now fully open to the community. This framework allows for the efficient running of models, such as DeepSeek-V4.1-Flash, ensuring high throughput and low latency.
The main goal is to make scalable inference more accessible, helping developers reduce computational costs and energy consumption.
Furthermore, DeepSeek has opened the source code for deepseek-recipe—a production component for tokenization that ensures local deployments work in full compliance with the official DeepSeek API. This provides the community with a complete, optimized production stack for deploying LLMs.
Why it matters
- —Lowers the barrier to entry for running Large Language Models (LLMs) locally.
- —Provides the community with an optimized production stack, which is critical for reducing operational costs.
- —Increases the transparency and accessibility of the inference process, allowing developers to control every stage of model operation.
Key facts
- DeepInfer is an open-source inference framework optimized for DeepSeek-V4.1-Flash.
- The framework includes high-performance kernels, speculative decoding, and distributed inference.
- It also includes the deepseek-recipe component for tokenization, ensuring compliance with the official API.
- The project aims to help the community reduce energy consumption and computational costs when working with AI.
The full text is in the original source. Here we provide a brief summary and key facts.