# 面对美国出口管制，中国DeepSeek计划自研芯片

- 来源：Ars Technica：AI（RSS）
- 作者：Samuel Axon
- 发布时间：2026-07-08 00:14
- AIHOT 分数：57
- AIHOT 链接：https://aihot.virxact.com/items/cmravsoam01fpihogr05rw53i
- 原文链接：https://arstechnica.com/ai/2026/07/facing-us-export-controls-chinas-deepseek-plans-to-make-its-own-chips

## AI 摘要

DeepSeek正计划进入芯片业务，重点开发面向数据中心推理的芯片（非训练芯片）。该项目已进行约一年，DeepSeek持续与潜在合作伙伴会面并招聘相关工程师，目标之一是减少对华为和英伟达的依赖。美国出口管制是这一计划紧迫的直接原因。与此同时，几周前OpenAI与Broadcom联合发布了首款推理芯片Jalapeño，Anthropic也在探索定制芯片设计。

## 正文

DeepSeek, the Chinese startup developing large language models that are competitive with those from US companies like OpenAI and Anthropic, is planning to enter the silicon business, according to Reuters.

Citing three people familiar with the matter, Reuters writes that DeepSeek has been working on a move into silicon for about a year. It has been meeting with potential partners in the hardware and silicon space and has been hiring engineers for the project.

The focus is on data center chips for inference, not training, and the goal is likely to reduce reliance on both Huawei and Nvidia.

Nvidia is the chipmaker for most AI companies in North America and Europe, but a United States export ban has prevented the company from achieving a similar presence in China. Huawei controls about half of the data center chip market there, and DeepSeek isn’t the only one trying to enter; Chinese tech giants like Alibaba and Baidu have been making moves, too.

While chip export controls in the US are a major reason this is an urgent concern for DeepSeek, US-based AI companies are making similar chip plans.

For example, OpenAI and Broadcom jointly announced Jalapeño, the former’s first chip designed for inference at scale, just a couple of weeks ago. Anthropic, too, has been exploring custom chip design, though there have not been any publicly visible milestones yet.

Ars Video

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In OpenAI’s case, it’s partly a play to reduce its reliance on Nvidia, but it’s also a desire to have Apple-like control over the entire tech stack for its products. Further, getting in at the silicon and data center levels can be an advantage in a market where data center access is likely to remain constrained, with multiple companies competing for compute as they scale up their AI models and services.

Samuel AxonSenior Editor

Samuel AxonSenior Editor

Samuel Axon is the editorial lead for tech and gaming coverage at Ars Technica. He covers physical and generative AI, large language models, software development, gaming, entertainment, and mixed reality. He has been writing about gaming and technology for nearly two decades at Engadget, PC World, Mashable, Vice, Polygon, Wired, and others. He previously ran a marketing and PR agency in the gaming industry, led editorial for the TV network CBS, and worked on social media marketing strategy for Samsung Mobile at the creative agency SPCSHP. He also is an independent software and game developer for iOS, Windows, and other platforms, and he is a graduate of DePaul University, where he studied interactive media and software development.

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