DeepSeek develops an AI chip to reduce reliance on Nvidia
DeepSeek is reportedly developing its own AI chip as China’s AI sector seeks more control over computing supply and costs.
DeepSeek is taking a serious step beyond software. The Chinese AI start-up is developing its own AI chip, according to reports by Reuters. The move could help the company reduce its dependence on Nvidia and Huawei chips, which have been central to training and running its popular AI models.
If successful, the DeepSeek AI chip would mark a major strategic change for a company widely viewed in China as one of the country’s leading AI players. Here's everything that you need to know!
Why DeepSeek wants more control
Building and operating advanced AI models requires enormous computing power. Most AI companies rely on graphics processing units (GPUs), specialised chips designed to handle demanding AI workloads.
Nvidia has long dominated this market, while Huawei has become an important supplier for Chinese firms facing restrictions on access to advanced US technology. According to Reuters, DeepSeek's chip project is still in its early stages.
The company is reportedly working with chip designers, foundries and memory manufacturers instead of building the entire supply chain itself. This collaborative approach could allow DeepSeek to accelerate development while leveraging existing semiconductor expertise.
The focus is on inference
Reports suggest DeepSeek's custom chip will primarily support AI inference. Generally, inference refers to the stage where a trained AI model generates responses to user requests. Every conversation with an AI chatbot or recommendation from an AI system relies on inference, making it one of the highest ongoing costs for AI providers.
A dedicated inference chip could help DeepSeek process user requests more efficiently, lower operating expenses and improve the performance of its AI services across consumer and enterprise applications.
What it means for Nvidia and Huawei
DeepSeek's plans are unlikely to disrupt Nvidia's global leadership in the near future. Designing competitive AI chips requires advanced engineering, software optimisation and access to cutting-edge manufacturing technology, all of which remain significant challenges.
Industry analysts believe these barriers will make it difficult for DeepSeek to compete internationally with established semiconductor companies. The impact on Huawei could be more noticeable.
Since DeepSeek currently uses Huawei hardware alongside Nvidia chips, a successful in-house processor could gradually reduce its dependence on both suppliers. However, developing production-ready AI chips is a lengthy process that can take several years.
A growing trend across the AI industry
DeepSeek is far from the only company pursuing custom AI hardware. Major AI developers, including OpenAI and Anthropic, have also explored building specialised chips to reduce infrastructure costs and improve performance. As AI adoption continues to grow, owning more of the technology stack is becoming an increasingly important competitive advantage.
For DeepSeek, the project is about more than creating another processor. It is an effort to strengthen its long-term position in an increasingly competitive AI market. If the company succeeds, it could gain greater independence over one of the most critical parts of AI development.