DeepSeek plans to launch V4 on Huawei hardware only, as Alibaba, ByteDance, and Tencent make large chip orders reshaping AI supply chains.
## China's AI Independence Moment
In what analysts are calling a watershed moment for Chinese technology sovereignty, **DeepSeek** is preparing to launch its next-generation **V4 model** running entirely on domestically manufactured chips — with **Nvidia** hardware notably absent from the equation. As reported by The Information and covered by Reuters on April 3–4, 2026, the company spent months collaborating with **Huawei** and **Cambricon Technologies** to rewrite core components of its model architecture to run on Chinese-made silicon.
The launch is expected in the final two weeks of April 2026, with at least two additional model variants in development targeting different use cases, according to CoinCentral.
## Bulk Orders Signal a Coordinated Supply Chain Shift
The scale of commitment from China's tech establishment is striking. **Alibaba**, **ByteDance**, and **Tencent** have collectively placed orders for hundreds of thousands of units of Huawei's new **Ascend 950PR** chips, according to TechWire Asia. The move signals what appears to be a coordinated realignment of the country's entire AI infrastructure — these companies are not merely hedging their bets, they are actively rebuilding their AI stacks around domestic hardware.
Perhaps the most pointed signal came from DeepSeek's deliberate decision to deny early chip access to American suppliers, including Nvidia — a standard industry courtesy the company reportedly reserved exclusively for Chinese chipmakers. As PC Gamer reported, this breaks from standard industry practices, allowing Chinese chipmakers several weeks to optimize their processors for the new model while US competitors are left without access.
Influencer Magazine noted this represents a direct inversion of the dynamic that has prevailed since the launch of ChatGPT, when American chipmakers enjoyed privileged access to frontier model development.
## Technical Architecture: Efficiency at Scale
On the technical side, DeepSeek V4 employs a **Mixture of Experts (MoE)** architecture with approximately **1 trillion total parameters** — but only around **37 billion** are activated per inference pass. The design delivers the knowledge breadth of a trillion-parameter model while running with the computational efficiency of a 37-billion-parameter one, a balance that could prove decisive for cost-sensitive enterprise deployments.
Preliminary analyses suggest the model could be up to **50 times cheaper** to run than competing offerings, and it is expected to be released as open source under the **Apache 2.0 license**, following the pattern established by its predecessors. Whether Huawei's Ascend chips can truly match Nvidia's throughput at scale remains an open question, as The Decoder explores in its analysis.
## What This Means for the Global AI Landscape
DeepSeek's move to bypass Nvidia's **CUDA ecosystem** in favor of Huawei's **CANN architecture** represents a significant technical undertaking, according to Seeking Alpha. If V4 delivers competitive performance on domestic silicon, it could fundamentally reshape the global AI chip market and challenge the effectiveness of US export controls on advanced semiconductors.
---SOURCES---
- DeepSeek's V4 model will run on Huawei chips, The Information reports — Reuters via Yahoo Finance
- DeepSeek's V4 Model Will Run on Huawei Chips as Chinese Tech Giants Place Bulk Orders — CoinCentral
- DeepSeek V4 points to growing use of Huawei chips in AI models — TechWire Asia
- DeepSeek has reportedly denied Nvidia and AMD early access to its new V4 AI model — PC Gamer
- DeepSeek V4 AI Model Set to Run on Huawei Chips Amid China's Push for Tech Independence — Influencer Magazine
- DeepSeek V4 will reportedly run entirely on Huawei chips — The Decoder
- DeepSeek to use Huawei chips for new V4 model — Seeking Alpha