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Nvidia Chips

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China's DeepSeek AI Model Costs $294,000 to Train and Innovates Self-Reasoning

Originally Published 3 months ago — by CNN

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Source: CNN

DeepSeek, a Chinese AI developer, revealed in a peer-reviewed article that it spent only $294,000 to train its R1 model using 512 Nvidia H800 chips, a significantly lower cost than US rivals, sparking renewed debate over China's role in the AI industry and raising questions about the technology and costs involved in AI development.

Energy Department Launches AI-Integrated Supercomputer in the Bay Area

Originally Published 7 months ago — by The New York Times

Featured image for Energy Department Launches AI-Integrated Supercomputer in the Bay Area
Source: The New York Times

The U.S. Energy Department is developing a new supercomputer named Doudna at Lawrence Berkeley National Laboratory, set to arrive in 2026, which will integrate commercial AI technologies, notably Nvidia chips, to significantly boost computational speed and versatility for scientific research and AI model training.