Upcoming DeepSeek AI model failed to train using Huawei's chips
Briefly

DeepSeek is currently working with Huawei to enhance model compatibility with Ascend for inference purposes. Founder Liang Wenfeng expressed dissatisfaction with the progress of the R2 model, urging more development time to maintain competitiveness in AI. The launch of R2 has faced delays due to extended data labeling. Meanwhile, AI researcher Ritwik Gupta commented on the adaptability and efficiency of competing models like Alibaba's Qwen3. He observed that Huawei is experiencing growth challenges with Ascend but remains optimistic about future advancements.
"Models are commodities that can be easily swapped out," said Ritwik Gupta, an AI researcher at the University of California, Berkeley. "A lot of developers are using Alibaba's Qwen3, which is powerful and flexible."
Gupta noted that Qwen3 adopted DeepSeek's core concepts, such as its training algorithm that makes the model capable of reasoning, but made them more efficient to use.
Nvidia, a chipmaker at the center of a geopolitical battle between Beijing and Washington, recently agreed to give the US government a cut of its revenues in China in order to resume sales of its H20 chips to the country.
"Developers will play a crucial role in building the winning AI ecosystem," said Nvidia about Chinese companies using its chips. "Surrendering entire markets and developers would only hurt American economic and national security."
Read at Ars Technica
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