Nvidia doubles its revenue as demand for AI chips accelerate, but bubble fears still persist
Shares of Nvidia moved higher in late trading today after the chipmaker reported better-than-expected second quarter earnings and revenue. It also delivered bullish guidance for the current quarter and next full year, causing its stock to increase more than 4%. The company reported earnings before certain costs such as stock compensation of $2.22 per share, […] The post Nvidia doubles its revenue…
Nvidia, a leading chipmaker, has witnessed a remarkable surge in its earnings and revenue, driven by the growing demand for artificial intelligence (AI) chips. After reporting earnings per share of $2.22, surpassing analysts' expectations, and revenue of $96.22 billion, up 106% year-over-year, the company's stock surged more than 4% in late trading. Nvidia forecasts revenue of $108 billion for the current quarter, beating the $104.2 billion analyst estimate.
The data center business, generating $89 billion in sales, now accounts for a significant 92% of Nvidia's total sales. While hyperscalers, or large cloud infrastructure providers, still dominate Nvidia's revenue, AI chips sold to other customers have been on the rise, with sales growing 138% year-over-year. Financial chief Colette Kress expressed optimism, stating that Nvidia expects its fiscal 2028 revenue to grow by 70%, well ahead of the 44% growth target set by Wall Street.
Despite today's positive stock performance, investor sentiment has been mixed, with Nvidia's stock up only 13% year-to-date, slightly outperforming the broader Nasdaq index. The company faces competition from rivals such as Advanced Micro Devices Inc. and hyperscalers like Google, which are pushing their own tensor processing units as alternatives to Nvidia's silicon.
Some investors are concerned about a potential bubble in the AI industry, questioning Nvidia's ability to maintain its current growth trajectory. Nvidia CEO Jensen Huang reassured investors that he regrets not investing more aggressively in AI companies like OpenAI and Anthropic before their initial public offerings, emphasizing that investing in these companies represents a unique opportunity.
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