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    DeepSeek Plans to Develop In-House AI Chips, Entering the AI Hardware Race

    2 Mins Read
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    DeepSeek is reportedly exploring in-house AI chip development, a move that could boost its computational power and bring it in direct competition with OpenAI and other AI giants.

    A new report suggests that DeepSeek has started a major recruitment drive, hiring semiconductor experts to lead the project.

    DeepSeek’s AI Chip Ambitions

    DeepSeek has grown rapidly from a small project into a major AI player, challenging OpenAI with its cutting-edge LLM models.

    Despite initial concerns about computing power limitations, the firm has secured access to 10,000 NVIDIA H800 AI GPUs and 10,000 high-end H100 AI chips, totaling $1 billion in resources. It also runs inferencing workloads on Huawei’s Ascend AI chips, giving it a diverse AI infrastructure.

    Now, DeepSeek is considering its own AI chips, a strategy many major AI firms are adopting. However, developing AI hardware is a complex process, requiring strong supply chain networks and advanced semiconductor manufacturing.

    For Chinese companies, global sanctions create additional challenges, limiting access to advanced semiconductor processes.

    Challenges and Future Prospects

    DeepSeek’s AI chip project is still in its early stages, and it remains unclear whether it can successfully bring its chips to market.

    Unlike larger AI firms like OpenAI, DeepSeek is still expanding, and competing in both AI software and hardware will require significant investment and innovation.

    However, if DeepSeek succeeds, it could increase diversity in the AI market and reduce reliance on external chip suppliers.

    Whether the company reaches the implementation stage remains to be seen, but its ambition signals a major shift in the AI industry.

    DeepSeek
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    Sazid Kabir
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    Founder & Chief Editor, NoMusica.com. Sazid Kabir is a tech writer and music producer covering music, tech, and music production with both analytical and practical experience.

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