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DeepSeek makes pivot that should put Silicon Valley on high alert

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Written by:

Ian Lyall

02:47 Thu 09 Jul 2026

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About Ian Lyall

Ian Lyall, a seasoned journalist and editor, brings over three decades of experience to his role as Managing Editor at Proactive. Overseeing Proactive's editorial and broadcast operations across six offices on three continents, Ian is responsible for quality control, editorial policy, and content production. He directs the creation of 50,000 pieces of real-time news, feature articles, and filmed interviews annually.

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DeepSeek makes pivot that should put Silicon Valley on high alert

Published: 02:47 09 Jul 2026 EDT

DeepSeek, the Hangzhou-based artificial intelligence startup, is designing its own chip, three people familiar with the matter say.

The move would reduce its dependence on Nvidia, the dominant American chipmaker, and on Huawei, the Chinese technology group whose Ascend processors it now leans on.

Understanding why matters more than the announcement itself, because the choice reveals how China's AI industry is adapting to being cut off from the best hardware.

Why inference, not training

The first clue is what kind of chip DeepSeek is building. It is targeting inference, the stage where a trained model answers user queries, rather than training, the far more demanding process of building a model in the first place.

That distinction is the heart of the strategy. Training is where Nvidia's lead is widest, thanks to its software, its high-speed chip-to-chip connections and its access to the most advanced manufacturing.

It is also where United States export controls bite hardest, because building competitive training chips requires cutting-edge lithography that Chinese factories cannot yet match.

Inference is an easier target. It is more forgiving on the manufacturing process, meaning a chip built on an older, more widely available production method can still be competitive.

It is also acutely sensitive to serving cost, the price of answering each individual query, which is exactly the metric a specialised chip can improve.

Every interaction with an AI assistant requires inference, so demand for this kind of computing is growing quickly and rewards whoever can run it cheaply.

A pricing war extended into silicon

Controlling its own inference hardware would extend a strategy DeepSeek has already pursued through pricing. In May, it cut the price of its V4-Pro model by 75%, dropping the top rate to under $0.85 per million tokens from $3.30.

A purpose-built chip that lowers the cost of running its models would let it push those prices lower still.

Where China holds an edge

This is where Chinese firms may hold an inherent advantage. DeepSeek designs both the model and, now, the chip that runs it, allowing the two to be tuned together in a way that general-purpose hardware cannot easily match.

The company has built its reputation on squeezing strong performance from constrained resources, a discipline forced on it by limited access to top chips.

Around a recent model release, it said it had used a data format well suited to home-grown...