Nvidia Shares Dip Nearly 2% on Report DeepSeek Is Building Its Own AI Inference Chip

Nvidia's stock dropped nearly 2% in trading following a report by International Business Times Australia that Chinese AI company DeepSeek is developing its own AI inference chip. The swift market reaction reflects investor sensitivity to any signal that Nvidia's dominant position in AI silicon could face new challenges.

DeepSeek has gained prominence in the AI community for its open-source large language models, including DeepSeek-V3 and DeepSeek-R1, which achieved competitive performance against top Western models. A move into custom chip development would represent a vertical integration play, transforming DeepSeek from a pure model developer into a company that designs hardware optimized for its own AI workloads.

For Nvidia, the implication is significant. The company's H100, B200, and forthcoming GPU architectures have been the de facto standard for training and deploying large AI models. However, a growing number of major AI players—including Google (TPU), Amazon (Trainium), Microsoft (Maia), and most recently OpenAI in partnership with Broadcom—are developing custom silicon, eroding Nvidia's near-monopoly in AI acceleration.

The report did not include specific details about the chip's architecture, manufacturing process, or production timeline. Industry experience suggests AI inference chip development typically requires 18 to 36 months and substantial capital investment, along with access to advanced semiconductor fabrication capabilities—a non-trivial challenge for any company.

The move is widely seen as a response to U.S. export controls. Since October 2022, the Bureau of Industry and Security (BIS) has progressively tightened restrictions on the export of advanced AI chips and semiconductor equipment to China, accelerating the push for domestic alternatives among Chinese technology firms.

Nvidia has not issued an official response to the report. While analysts note that even a successful DeepSeek chip is unlikely to materially impact Nvidia's datacenter revenue in the near term, the symbolic weight of yet another major AI customer pursuing chip independence signals a structural shift that bears watching over the next 12 to 24 months.