Nvidia Faces New AI Challenge As Chinese Start-Up Unveils Framework To Cut Reliance On Its GPUs - Alibaba Gr Hldgs (NYSE:BABA), Baidu (NASDAQ:BIDU)
- A Chinese start-up developed a new AI framework named Chitu that could lessen dependence on Nvidia's GPUs.
- Chitu achieved a 315% increase in inference speed while using 50% less GPU power than foreign frameworks, the company claimed.
- Baidu unveiled ERNIE X1, claiming it is comparable to Chitu's performance at half the price, indicating rising competition in Chinese AI.
- Investor interest in Chinese tech is growing, reflecting China's push for technological independence amid U.S. Export restrictions.
45 Articles
45 Articles
Nvidia Faces New AI Challenge As Chinese Start-Up Unveils Framework To Cut Reliance On Its GPUs - Alibaba Gr Hldgs (NYSE:BABA), Baidu (NASDAQ:BIDU)
A new artificial intelligence framework developed by a Chinese start-up could reduce reliance on Nvidia Corp.‘s (NASDAQ:NVDA) chips for AI model inference, marking the latest effort by Chinese tech companies to achieve technological self-sufficiency amid U.S. export restrictions. What Happened: Qingcheng.AI, founded by Tsinghua University professor Zhai Jidong, unveiled “Chitu” – a high-performance inference framework for large language models t…
Chinese startup challenges Nvidia's AI lead with new chip framework
A new artificial intelligence (AI) framework developed by teams associated with China's Tsinghua University is said to be able to reduce reliance on Nvidia chips for AI model inference, marking the latest effort by the country to enhance technological self-sufficiency.
China’s Chitu to Challenge Dependence on NVIDIA Chips
NVIDIA leads the AI chip market. However, due to US hardware restrictions on China and the rise of non-NVIDIA GPUs, some businesses seek to lessen their reliance on NVIDIA products. A team associated with China’s Tsinghua University is joining the effort by releasing a new open-source AI framework, Chitu, made available under the Apache-2.0 license. Chitu is a high-performance inference framework for large language models, focusing on efficiency…


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