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China's Meituan Says New AI Model Trained on Domestic Chips

Meituan announced that its latest AI model was trained entirely on domestic chips, marking progress in China's AI self-sufficiency.

Published

On June 30, Meituan publicly stated that its newest AI model was trained using domestic chips. The announcement, reported by SRN News, highlights efforts by Chinese tech companies to achieve hardware independence.

Meituan did not disclose the specific chip model but noted that performance and efficiency met expectations. This move is part of Meituan's continued investment in AI and addresses concerns over reliance on imported chips.

Training AI models on domestic chips reduces dependence on foreign advanced chips and enhances supply chain security. Several Chinese firms have previously attempted to train large models on domestic chips; Meituan's involvement as a major internet company could accelerate this trend.

The news originates from a SRN News report cited by Google News. Meituan has not yet issued an official press release.

If domestic chips can support large-scale AI training, it could break the monopoly of high-end chips and boost China's AI ecosystem development.

Why it matters

Meituan's use of domestic chips for AI training signals progress in China's hardware autonomy, potentially encouraging more firms to adopt domestic chips and reduce external supply chain dependence.

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