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Nvidia delivered stronger-than-expected quarterly results as demand for the chips powering the global artificial intelligence boom continued to accelerate. The company's revenue doubled from a year earlier, reinforcing its position at the center of an unprecedented wave of spending on AI infrastructure.

The results suggest that demand for Nvidia's processors remains exceptionally strong despite growing concerns over whether the technology industry's enormous investments in artificial intelligence can be sustained over the long term.

Nvidia's latest results underscore just how powerful the AI infrastructure boom has become. The company reported $96.22 billion in quarterly revenue, up more than 100% from a year earlier and above Wall Street expectations, while adjusted earnings also exceeded forecasts.

Chief Financial Officer Colette Kress offered an even more bullish view of what lies ahead, saying Nvidia expects revenue to grow by approximately 70% in fiscal 2028. That projection is significantly higher than the roughly 45% growth analysts had anticipated, suggesting the company sees demand for AI computing remaining strong well beyond the current spending cycle.

The outlook is particularly notable because Nvidia says it is still constrained by supply. Kress indicated that customer demand could support even faster growth if the company were able to obtain enough components and manufacturing capacity to meet every order.

Much of that demand continues to come from the world's largest technology companies. Nvidia's data-center business generated approximately $89 billion during the quarter, reflecting the enormous investments companies are making to build the infrastructure needed to train and operate increasingly sophisticated AI models.

Amazon is among the companies preparing to expand its AI infrastructure even further. Nvidia announced an expanded partnership with Amazon Web Services, with AWS expected to deploy an additional 2 million Nvidia GPUs as it continues building out its data-center capacity.

The planned deployment highlights the scale of the computing race now underway among major cloud providers. Companies including Amazon, Meta, Google and Microsoft are investing billions of dollars in chips, servers, data centers, and energy infrastructure as they compete to provide the computing power required for the next generation of AI applications.

Nvidia's results could also help ease investor concerns that spending on artificial intelligence is beginning to slow. Despite growing questions about whether the enormous sums being invested in AI infrastructure will ultimately produce sufficient returns, the company's latest numbers suggest that customers are still aggressively expanding their computing capacity.

CEO Jensen Huang has argued that artificial intelligence is moving beyond experimentation and beginning to generate measurable economic value. Nvidia's continued growth is being fueled by the idea that more AI adoption will require even greater amounts of computing power, creating a cycle of expanding infrastructure investment.

There are still challenges ahead. Nvidia expects rising memory costs to put pressure on its industry-leading profit margins, while the company also faces increasing competition from customers developing their own custom chips and ongoing uncertainty surrounding international markets.

For now, however, Nvidia remains firmly at the center of the AI boom. With revenue more than doubling, a forecast calling for roughly 70% growth in fiscal 2028, and customers planning deployments involving millions of additional GPUs, the company's latest earnings report suggests that the global race to build AI infrastructure is far from slowing down.