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DeepSeek已公开了其用于构建最快速、最便宜的人工智能模型的推理引擎。

原文标题 · Deepseek open-sources the inference engine that powers its fastest and cheapest AI model

Deepseek正在将其快速V4.1-Flash模型背后的推理框架DeepInfer开源。基于vLLM的系统在运行AI模型时能够降低计算成本和能源消耗。这一发布举措无疑给像OpenAI和Anthropic这样的西方提供商带来了更大的定价压力。关于Deepseek将其最快速且最便宜的AI模型所需的推理引擎开源的消息,最初出现在The Decoder网站上。

来源:The Decoder · the-decoder.com

正文为英文,可一键机器翻译(仅首次需要等待)

Deepseek open-sources the inference engine that powers its fastest and cheapest AI model

Deepseek has open-sourced DeepInfer, its internal inference framework, under the Apache License 2.0. Inference is how a trained AI model handles requests and generates responses. DeepInfer is the serving software that lets Deepseek's V4.1-Flash model produce answers quickly at scale.

The framework builds on vLLM with optimized compute kernels, distributed processing across multiple chips, and faster text generation techniques. Code for future Deepseek models will also ship as open source. Deepseek is also releasing deepseek-recipe , which replicates the token processing of the official Deepseek API so self-hosted setups behave the same way.

Deepseek's models are already dirt cheap . DeepInfer fills the last gap for running them even more cheaply. The goal is "to help the community lower compute costs, reduce energy use, and make AI more affordable," the company said on X . But the release also adds pricing pressure on Western providers like OpenAI and Anthropic. Given the AI race between China and the US, the move could be politically motivated too. If Western AI companies miss their growth targets, that's a risk for the US economy and beyond. Ad Ad

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