"Wearing a simple white shirt, dark pants, and carrying two shopping bags," he blocked a column of a Chinese military tank (Dunleavy). The Tank Man, known as the "Unknown Rebel," emerged into the global media spotlight after the violent crackdown (Iyer). This incident was a series of protests in Beijing, China, 1989, led by "university students, intellectuals, and workers" (Ray). These demonstrations aimed to seek "democratic, political, social, economic and other reforms" and garnered widespread global attention (The Editors of Encyclopaedia Britannica). The protests escalated from a scale of "100,000" students to "1 million" people participating (The Editors of Encyclopaedia Britannica). Ultimately, the tragic incident culminated in "Chinese soldiers and police storming Tiananmen Square, firing live rounds into the crowd" (History.com Editors), resulting in "hundreds to thousands of protesters being killed...
In the current era, humanity has fully embraced the age of big data and artificial intelligence. The processing and analysis of big data, as well as the development of foundational AI model training, not only rely on algorithmic evolution and innovation but, most critically, require hardware computational power. Previously, model training was conducted on standard servers or discrete graphics cards. However, companies like NVIDIA have continually introduced specialized AI chips and computers, ushering in a significant revolution in the hardware domain of the AI industry. Recently, at CES on January 6, 2025, NVIDIA’s CEO, Jensen Huang, unveiled a supercomputer named Project DIGITS, designed for AI researchers and data scientists. This small box, comparable in size to an Apple Mac Mini, is equipped with NVIDIA’s GB10 Grace Blackwell superchip (NVIDIA). Unlike traditional graphics GPUs, this product is specifically tailored for AI training and inference tasks. The fifth-generation Tensor ...