The company has spent the past year recruiting specialized engineers and scouting manufacturing partnerships to accelerate its chip program. While DeepSeek has historically relied on Nvidia and Huawei hardware to power its models, founder Liang Wenfeng has signaled that current U.S. export controls represent a significant operational bottleneck. The new chip will prioritize inference, targeting the high-demand phase of AI deployment where models generate responses for users.
DeepSeek’s ambition aligns with a broader industry trend among global AI developers like OpenAI and Anthropic, who are moving to exert more control over their hardware supply chains. However, the path to a competitive product is fraught with technical and geopolitical hurdles. Beyond the immense R&D costs, the firm faces restricted access to advanced foundries and critical memory components necessary for high-end silicon. To fund this transition, the company is reportedly seeking $7 billion in capital—a sharp reversal of its previous strategy of avoiding outside investment.




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