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World of Software > Computing > DeepSeek launches into AI chips to free itself from Nvidia and Huawei
Computing

DeepSeek launches into AI chips to free itself from Nvidia and Huawei

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Last updated: 2026/07/07 at 11:07 PM
News Room Published 7 July 2026
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DeepSeek launches into AI chips to free itself from Nvidia and Huawei
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The project had been brewing in secret for about a year. DeepSeekthe Chinese AI nugget that shook the world with its ultra-efficient and economical models, is moving up a gear.

The company, based in Hangzhoudiscreetly began to recruit engineers specializing in chip design and to establish contacts with foundries and memory suppliers.

It now dreams of designing its own components to establish its independence and optimize its infrastructures. An ambition which propels it into a new arena, much more complex than software development alone, but which could ultimately make it independent of American sanctions.

Why is DeepSeek starting to manufacture its own AI chip?

The reason is above all strategic: break your addiction vis-à-vis external suppliers such as Nvidia et Huawei. Faced with US export controls which drastically limit its access to cutting-edge technologies, the Chinese company seeks to control your supply chain from A to Z.

It is a question of survival and technological sovereignty, pushed by Beijing which encourages its national champions to develop local alternatives. This approach is also part of a global trend.

The giants of AI,OpenAI has Anthropichave all understood that control of silicon is the new key to the kingdom. Having your own chip means being able to optimize it to perfection for your own models, reduce operating costs and no longer be at the mercy of stock shortages or geopolitical decisions from a third-party provider. For DeepSeekit is the logical continuation after having proven its superiority on the software level.

How is this chip different from Nvidia’s?

The big difference lies in its specialization. The future AI can of DeepSeek will be tailored to inferencenot for training models. Inference is the phase where an already trained model generates answers and predictions for users.

This is the most common step and the one for which demand is exploding as AI applications become more popular. It’s the engine that powers chatbots and image generators on a daily basis.

DeepSeek IA generative chine

Conversely, model training, the favorite playground of Nvidiarequires raw and colossal computing power. Inference chips can be smaller, cheaper and much less energy consuming.

This specialization could allow DeepSeek to deploy its artificial intelligence on an even more massive scale and at lower cost.

What are the obstacles and chances of success for DeepSeek?

The path is strewn with pitfalls. The main obstacle is technological and financial. Designing a competitive chip requires years of R&D, colossal investments and access to cutting-edge engraving techniques.

The recent fundraising announced at 7 billion dollars, valuing the company at more than 50 billion, seems precisely calibrated to finance this devouring ambition.

The second major obstacle is geopolitical. THE American sanctions prevent Chinese companies from accessing the most advanced foundries (like TSMC in Taiwan) and critical technologies like high-bandwidth memory (HBM).

DeepSeek will therefore have to deal with less fine engraving technologies, which could limit the performance of its future AI can. It will therefore be necessary to find the right support points to bring out the best compromise.

What impact will this project have on the semiconductor market?

If DeepSeek succeeds, the impact will be multiple and profound. On the Chinese market, this would put considerable pressure sur Huawei whose Ascend chips already equip many local players, including part of DeepSeek’s infrastructure.

Huawei Ascend CANN

The arrival of a new competitor, and a customer at that, could erode its market share, even if everything remains to be done. However, this confirms an underlying trend: Chinese tech giants, like Alibaba and Baidu, prefer develop their own solutions rather than depending on a single national supplier, even a powerful one.

On a global scale, this does not directly threaten Nvidiawhich is banned from the Chinese market anyway for its most advanced chips. However, this perfectly illustrates the technological divide in progress.

Each homemade chip developed in China is one more brick in the technological “Great Wall” that the country is erecting. The Chinese ecosystemartificial intelligence is learning to live, and even thrive, in a closed circuit.

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