# DeepSeek Announces Custom AI Inference Chip to Break Free From Nvidia/Huawei

> DeepSeek, the Chinese lab that made its name doing more with less, is now trying to control its own hardware. Announced on July 7, the roughly year-old project aims to design an inference-focused chip, silicon optimized not for training giant models but for running them cheaply at scale, which is where most of the actual compute bill lands once a product is live. The motive is independence. DeepSeek wants to reduce its reliance on both Nvidia, whose top chips are restricted by US export controls, and Huawei, the leading domestic alternative. Building your own accelerator is a way to escape being squeezed by either. The obstacles are steep. US controls do not only limit chip purchases, they also choke access to advanced manufacturing and to high-bandwidth memory, the specialized components that make AI chips fast. A design on paper is a long way from working silicon at volume. Still, the attempt itself is telling: the AI race is increasingly a hardware race, and the pressure of sanctions is pushing Chinese firms to build the whole stack themselves.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: KERSAI · Published Thursday, July 16, 2026_

## Wortins' read

DeepSeek, the Chinese lab that made its name doing more with less, is now trying to control its own hardware. Announced on July 7, the roughly year-old project aims to design an inference-focused chip, silicon optimized not for training giant models but for running them cheaply at scale, which is where most of the actual compute bill lands once a product is live. The motive is independence. DeepSeek wants to reduce its reliance on both Nvidia, whose top chips are restricted by US export controls, and Huawei, the leading domestic alternative. Building your own accelerator is a way to escape being squeezed by either. The obstacles are steep. US controls do not only limit chip purchases, they also choke access to advanced manufacturing and to high-bandwidth memory, the specialized components that make AI chips fast. A design on paper is a long way from working silicon at volume. Still, the attempt itself is telling: the AI race is increasingly a hardware race, and the pressure of sanctions is pushing Chinese firms to build the whole stack themselves.

## Source

[Read the full story at KERSAI](https://kersai.com/ai-breakthroughs-july-2026/)

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