Financial data emerging in the past few days paints a picture of the CEO of graphics chip maker Nvidia, Huang Renxun, becoming the richest man on Earth by early 2025. That’s if the surge in the firm’s stock price continues for a little longer.
过去几天出现的财务数据描绘了图形芯片制造商英伟达首席执行官黄仁勋的形象，他将在 2025 年初成为地球首富。前提是该公司股价的飙升持续一段时间。
It was just a week ago that Huang was ranked as the 17th richest human. But in the days since, he has moved up two spots, with a net worth exceeding US$100 billion for the first time.
就在一周前，黄在富豪榜上排名第17位。但此后的日子里，他的排名上升了两位，净资产首次超过 1000 亿美元。
Nvidia’s first quarter financial report for this year revealed a net profit of US$14.8 billion, a surge of 628 percent. Driven by such a performance, Nvidia’s stock price has exceeded US$1,000 per share, with a total market value as high as US$2.8 trillion, approaching Apple’s value of US$2.9 trillion.
英伟达今年第一季度财报显示，净利润为148亿美元，猛增628%。在这样的业绩带动下，英伟达股价已突破1000美元每股，总市值高达2.8万亿美元，逼近苹果2.9万亿美元的市值。
Hence, the net worth of its founder Huang has soared too. According to the latest data from Forbes’ Real-time Rich List and Bloomberg’s Rich List, Huang’s net worth now stands at US$100.7 billion, making him 15th on the global rich list.
因此，其创始人黄的身家也随之飙升。根据福布斯实时富豪榜和彭博富豪榜的最新数据，黄的净资产目前为1007亿美元，位列全球富豪榜第15位。
To put that another way, Huang is worth 10 billion US dollars more now than he was a week ago.
换句话说，黄现在的身价比一周前增加了100亿美元。
And since Nvidia’s financial report was released on 22 May, the firms’s stock price has risen by 20 percent, while for the year as a whole so far it has soared by 130 percent. Over the longer term, Nvidia’s stock price has risen nearly 30 times in the past 5 years, as dsb.cn reported today, 31 May.
自英伟达5月22日发布财报以来，该公司股价已上涨20%，而全年迄今已飙升130%。据 DSB.cn 今天（5 月 31 日）报道，从长期来看，英伟达股价在过去 5 年里上涨了近 30 倍。
But we can find plenty of naysayers to predict the trend simply cannot continue. New York Magazine pointed out on 25 May that “lots of people seem to think it’s gotten way overvalued”.
但我们可以发现很多反对者预测这种趋势根本无法持续。 《纽约杂志》5 月 25 日指出，“很多人似乎认为它被高估了”。
Nvidia’s hyper-fast chips were once mainly employed for video gaming, but now they are proving themselves as essential for the kind of computational power required by AI.
英伟达的超高速芯片曾经主要用于视频游戏，但现在它们正在证明自己对于人工智能所需的计算能力至关重要。
Huang is a US naturalised, Taipei, Taiwan-born Chinese who attended Oregon State University to later receive a master’s degree in electrical engineering from Stanford University.
黄是一名入籍美国的中国人，出生于台湾台北，曾就读于俄勒冈州立大学，后来获得斯坦福大学电气工程硕士学位。
