Tech Giant’s Bold Move: Launching a Product That Could Reshape the Market

The post China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise appeared on BitcoinEthereumNews.com. China Blocks Nvidia’s RTX Pro 6000D as Local Chips Rise China’s internet regulator has ordered the country’s biggest technology firms, including Alibaba and ByteDance, to stop purchasing Nvidia’s RTX Pro 6000D GPUs. According to the Financial Times, the move shuts down the last major channel for mass supplies of American chips to the Chinese market. Why Beijing Halted Nvidia Purchases Chinese companies had planned to buy tens of thousands of RTX Pro 6000D accelerators and had already begun testing them in servers. But regulators intervened, halting the purchases and signaling stricter controls than earlier measures placed on Nvidia’s H20 chip. Image: Nvidia An audit compared Huawei and Cambricon processors, along with chips developed by Alibaba and Baidu, against Nvidia’s export-approved products. Regulators concluded that Chinese chips had reached performance levels comparable to the restricted U.S. models. This assessment pushed authorities to advise firms to rely more heavily on domestic processors, further tightening Nvidia’s already limited position in China. China’s Drive Toward Tech Independence The decision highlights Beijing’s focus on import substitution — developing self-sufficient chip production to reduce reliance on U.S. supplies. “The signal is now clear: all attention is focused on building a domestic ecosystem,” said a representative of a leading Chinese tech company. Nvidia had unveiled the RTX Pro 6000D in July 2025 during CEO Jensen Huang’s visit to Beijing, in an attempt to keep a foothold in China after Washington restricted exports of its most advanced chips. But momentum is shifting. Industry sources told the Financial Times that Chinese manufacturers plan to triple AI chip production next year to meet growing demand. They believe “domestic supply will now be sufficient without Nvidia.” What It Means for the Future With Huawei, Cambricon, Alibaba, and Baidu stepping up, China is positioning itself for long-term technological independence. Nvidia, meanwhile, faces…

The AI boom is premised on immense greed, writes Andrew Keen. Keen: The tech companies are well on the way to becoming the 21st-century equivalent of the American Fruit Company that ravaged Guatemala with its neo-colonialist labour practices. The threat posed by tech behemoths like Google, Meta, and Microsoft is universally recognised.

In this study, we address the crucial problem of instability in hyperbolic deep learning, particularly in the learning of the curvature of the manifold. Naive techniques have a fundamental weakness that the authors point out: performance deteriorates when the curvature parameter is updated before the model parameters are updated, invalidating the Riemannian gradients and projections. They address this by presenting a new ordered projection schema that re-projects the model parameters onto the new manifold after first updating the curvature and then projecting them to a stable tangent space.