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News

DeepSeek V4 Model to Run on Huawei Chips in Major AI Shift

Rakesh Paul
Last updated: 06/04/2026
Rakesh Paul
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6 Min Read
A glowing futuristic microchip on a sleek metallic server rack in a high-tech data center.

The Hangzhou-based artificial intelligence startup DeepSeek is preparing to launch its next-generation model within weeks, and the transition marks a decisive move toward domestic semiconductor independence. According to recent reports, the upcoming DeepSeek V4 model will use Huawei chips exclusively, sidelining major American hardware providers. This strategic decision is emerging as one of the most significant shifts in the global artificial intelligence race, driven by geopolitics, supply constraints, and a desire for strategic control over critical technology infrastructure.

Contents
Tech Giants Place Massive Hardware OrdersSidelining US Chipmakers and Breaking Industry NormsImpact on Nvidia, AMD, and the Global MarketExpanding China’s Self-Reliant Ecosystem

The decision to optimize the DeepSeek V4 model for Huawei chips answers pressing questions about the future of global hardware supply chains. By aligning its infrastructure with domestically produced technology, the Chinese startup is fundamentally altering how artificial intelligence models are optimized and deployed. The shift places Huawei Technologies at the center of China’s technology ambitions, signaling a new phase where local companies rely less on foreign hardware to power their most advanced digital tools.

Tech Giants Place Massive Hardware Orders

In anticipation of the new model’s release, major Chinese technology companies have heavily invested in domestic hardware. Industry leaders, including Alibaba Group, ByteDance, and Tencent Holdings, have reportedly placed bulk orders for upcoming Huawei processors. These massive orders total hundreds of thousands of units, demonstrating strong industry confidence in Huawei’s hardware capabilities.

This overwhelming surge in demand indicates that the DeepSeek V4 model and its reliance on Huawei chips will benefit directly from immense scale. The availability of larger chip quantities within the domestic market is expected to facilitate faster deployment times and improved training cycles. Furthermore, relying on a localized supply chain reduces the vulnerabilities associated with global networks, which have become increasingly volatile due to ongoing geopolitical tensions and international trade restrictions.

Sidelining US Chipmakers and Breaking Industry Norms

Traditionally, artificial intelligence developers collaborate with multiple global chipmakers to optimize performance before rolling out new systems. However, DeepSeek has chosen a different path by reportedly denying early access to its upcoming model to American hardware giants like Nvidia and AMD. This decision breaks established industry norms, where hardware providers typically get a head start to fine-tune their processors for next-generation software.

Instead of working with foreign companies, the startup has spent the past few months working closely with Huawei and Cambricon Technologies. Together, these domestic teams have rewritten core parts of the model’s underlying code to ensure that it runs efficiently on local hardware.

The move is largely seen as a reaction to strict United States export controls. These trade restrictions, strongly backed by Donald Trump, have severely limited China’s access to cutting-edge foreign hardware, such as Nvidia’s advanced Blackwell architecture. By building a software system meticulously optimized for local processors, the startup is effectively future-proofing its operations against any further international restrictions.

Impact on Nvidia, AMD, and the Global Market

The implications of this transition extend far beyond domestic borders. Nvidia has long been considered the dominant force in the artificial intelligence hardware market, but the company now faces a gradual erosion of its market share in the region.

Despite recent claims by Nvidia CEO Jensen Huang that China remains only “nanoseconds behind” the United States in development, this localized strategy suggests the technological gap could close faster than many anticipated. If domestic firms can successfully optimize their advanced systems for local processors, the need for American hardware at scale may significantly decline. AMD is also facing similar challenges, as the loss of early access opportunities prevents the company from fine-tuning its processors for these emerging software systems.

Adding to the complexity of the tech rivalry, reports suggest that the startup may have previously trained earlier systems using advanced Nvidia processors despite existing export controls. However, the current transition demonstrates a clear pivot away from that reliance.

Expanding China’s Self-Reliant Ecosystem

The transition represents the beginning of a highly self-reliant ecosystem that is less vulnerable to external pressures. The company is not limiting its efforts to a single release. Reports indicate that developers are currently working on two additional V4 variants. Each of these variants is optimized for different specific capabilities and designed exclusively to run on Chinese hardware. This multi-model strategy aims to provide a diversified portfolio capable of competing on the global stage.

Earlier releases from the startup, such as the V3 and R1 models, gained significant attention for delivering competitive performance at a remarkably lower cost. The success of those previous versions has already shaken investor confidence in high-spending American firms. As the technology industry watches closely, the decision to run the DeepSeek V4 model on Huawei chips is expected to reshape the future of global innovation.

TAGGED: AI hardware, AMD, Artificial Intelligence, DeepSeek V4, Huawei chips, Nvidia
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By Rakesh Paul
I'm the Co-Founder of VellaTimes and an experienced digital marketer. With substantial experience in the blogging industry, I love crafting insightful and engaging news articles on technology, sports, and automobiles.
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