China Develops Algorithm Boosting Nvidia GPU Efficiency 800-Fold

A new algorithm developed by Shenzhen MSU-BIT University enhances the computational efficiency of peridynamics, significantly improving the speed of simulations from days to minutes using common GPUs. This advancement, published in the Chinese Journal of Computational Mechanics, opens up new applications in industries like aerospace by addressing the traditional high computational complexity of peridynamics. Meanwhile, NVIDIA's stock faced volatility due to concerns surrounding the AI platform DeepSeek's ability to perform well with fewer chips than expected, prompting analysts to adjust their ratings on the company. In response to these market dynamics, NVIDIA emphasized the ongoing demand for its GPUs in AI applications, despite a recent sell-off in tech stocks. Concurrently, India is advancing its AI capabilities by developing a Large Language Model supported by 18,000 GPUs, aimed at reducing dependence on foreign technology and enhancing data sovereignty. This initiative reflects a broader trend of countries striving to establish self-reliant AI ecosystems.