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NVIDIA and AMD Not Required: DeepSeek V4 Trained on Huawei Chips - Zamin.uz

Published
Jun 6, 2026 — 08:53 UTC
Also in this story: AMD NVIDIA Huawei

DeepSeek V4 has been launched, showcasing a notable advancement in AI model training by utilizing Huawei’s chips instead of the traditionally dominant NVIDIA and AMD hardware. This development is particularly significant as it highlights a growing trend of diversifying hardware dependencies in the AI landscape, especially amid ongoing geopolitical tensions and supply chain challenges.

The new model, DeepSeek V4, represents a strategic pivot for AI developers who are increasingly seeking alternatives to the established giants in the chip manufacturing space. By leveraging Huawei’s technology, the developers aim to enhance performance and efficiency while reducing costs associated with licensing and hardware procurement from NVIDIA and AMD. This shift could potentially democratize access to powerful AI tools, allowing smaller firms and startups to compete more effectively in the market.

Huawei’s chips have been gaining traction in various tech sectors, but their application in AI model training signifies a critical evolution. The move away from NVIDIA and AMD not only reflects a response to supply chain vulnerabilities but also aligns with broader efforts to foster self-sufficiency in technology. As noted by Zamin.uz, the implications of this development extend beyond just hardware preferences; it could reshape competitive dynamics in the AI sector, prompting other companies to explore similar alternatives.

The competitive landscape is likely to shift as more companies consider Huawei’s chips for their AI needs. This could lead to increased pressure on NVIDIA and AMD to innovate and adapt their offerings to retain market share. Additionally, as more organizations adopt these new technologies, the overall market for AI hardware may become more fragmented, with a wider array of options available to developers.

As the AI industry continues to evolve, it will be essential to monitor how DeepSeek V4 performs in real-world applications and whether this trend towards alternative chip manufacturers gains further momentum.

Turing Wire

By Turing Wire editorial staff · Jun 6, 2026 · Editorial standards →

Source: Google News · DeepSeek