NVIDIA's dominance over the Chinese AI market might be in jeopardy, as the Jack Ma-backed Ant Group is said to have developed AI models using Chinese chips at a bargain.
China's AI Industry Is Now Showing That Model Training Doesn't Require "Billions of Dollars," Rather a Bunch of Talented Brains
It seems like China's AI industry is witnessing what we should call a "technological revolution" credit to the US export restrictions and how domestic companies like Huawei have emerged to rescue the local markets. One of NVIDIA's biggest revenue markets, China, is seeing massive competition with the emergence of in-house AI hardware, and now, according to Bloomberg, these homegrown chips seem to be doing their job in putting NVIDIA's monopoly to an end. Ant Group, a FinTech-focused company, has been said to have developed models superior to the likes of Meta, using chips from Huawei and others.
Diving a bit into the report, it is claimed that Ant Group managed to develop "Ling-Lite and Ling-Plus" AI models at 20% lower cost than the industry standard; this achievement isn't attributed to Chinese AI chips alone, but it is said that Ant Group has developed AI training techniques which are superior as well. Ant Group is said to utilize chips from Huawei, along with their own in-house solutions, and for training, the firm has used the "Mixture of Experts" technique, which enhances the efficiency and scalability of large models.
Ant Group is claimed to have achieved performance from its hardware stack on par with NVIDIA's H800 AI GPUs, and the company's developed models are said to outperform Meta in certain benchmarks. However, the data is from the firm's internal testing, so we cannot be sure for now. With Ant's approach, the firm managed to train 1 trillion tokens at 5.1 million yuan, which is around 20% lower than the cost achieved using other mainstream methods.
While Ant Group hasn't announced whether their models will be available for public preview, it does show that things are evolving interestingly for China, and that the nation is seemingly on its way to breaking the "West ideology" that AI training requires billions of dollars.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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