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Recently, the latest artificial intelligence model Grok3 launched by xAI quickly climbed to the top of the App Store in the United States, becoming a hot topic among users. Behind this achievement, in addition to Grok3's powerful features, are the outstanding contributions of two Chinese scholars. They are Assistant Professor Jimmy Ba from the University of Toronto and Tony Wu, co-founder of xAI. It is worth noting that Tony Wu is not only the only post-95 scholar in the team, but his academic background and development experience are also impressive.

Recently, Musk officially launched the brand new chatbot Grok 3 in a live stream and disclosed the astonishing cost of training the model. Grok 3 is currently available to Premium + subscribers and has shown outstanding performance in various evaluation areas, even surpassing other competitors in the market, such as Gemini, DeepSeek, and ChatGPT. During the live stream, Musk mentioned that the training process for Grok 3 consumed a total of 200,000 NVIDIA GPUs, a figure that is truly shocking.

Tesla CEO Elon Musk is fully committed to pursuing AI chips to support his new supercomputer, a move that has already pushed Nvidia's production capacity to its limits. According to a report by The Wall Street Journal, a sales executive at Nvidia mentioned in an internal email that Musk's demand for their chips is putting pressure on the company's supply chain. An Nvidia spokesperson stated, 'We are working hard to meet all customer demands and have significantly increased the available supply.' Image source note: Image generated by AI.

Elon Musk's xAI has announced the launch of an artificial intelligence training system named 'Colossus', powered by 100,000 Nvidia H100 GPUs, which is considered the most powerful AI training system globally. Its performance may even surpass that of the U.S. Department of Energy's Aurora supercomputer. The power of Colossus is largely attributed to Nvidia's H100 GPU, which operates language models at a speed 30 times faster than previous GPUs, especially in transformer-based tasks.