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Home DeFi Metaverse

rewrite this title Baidu Unveils New Tech to Simplify AI Model Training – Metaverseplanet.net

MetaversePlanet by MetaversePlanet
April 25, 2025
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rewrite this title Baidu Unveils New Tech to Simplify AI Model Training – Metaverseplanet.net
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Chinese technology giant Baidu has announced a groundbreaking new solution designed to make training AI models much easier. The company introduced a massive chip cluster built from its self-developed third-generation P800 Kunlun chips, capable of training complex models like DeepSeek.

According to Baidu CEO Robin Li, the newly created chip cluster consists of 30,000 P800 Kunlun chips. This enormous system is powerful enough to train highly complex AI models containing hundreds of billions of parameters. Moreover, thousands of users working on smaller models will be able to access the system simultaneously to develop their own projects.

Baidu’s Chips Are Already in Use

Baidu Unveils New Tech to Simplify AI Model Training

Baidu has revealed that its newly developed chips are already being used by banks and internet companies across China. In addition to the chip announcement, Baidu introduced two new AI models: Ernie 4.5 Turbo and Ernie X1 Turbo. These models are designed for a variety of applications, including language processing and programming, and will be available to users through Baidu’s various platforms.

China’s AI Race Intensifies

FILE PHOTO: Men interact with a Baidu AI robot near the company logo at its headquarters in Beijing, China April 23, 2021. REUTERS/Florence Lo

Recently, the artificial intelligence race in China has accelerated, with companies now focusing not just on developing AI models but also on integrating them into practical applications.

Among the standout players in this new wave is Baidu, and its latest technological leap clearly signals its ambition to strengthen its AI investments through real-world applications. This move highlights Baidu’s commitment to bridging the gap between AI development and practical deployment.

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