“The buildout of AI factories — the largest infrastructure expansion in human history — is accelerating at extraordinary speed,” CEO Jensen Huang said in a statement. “Agentic AI has arrived, doing productive work, generating real value and scaling rapidly across companies and industries,” he added.

Data center growth

Specifically for bitcoin miners moving towards the data center business, there was some positive news in the chipmaker’s earnings.

Nvidia’s Data Center business continued to drive growth as cloud providers, enterprises and governments expanded spending on AI infrastructure powered by the company’s chips.

Hyperscalers generated more than half of Nvidia’s $75 billion in Data Center revenue during the quarter, reaching roughly $38 billion and rising 12% from the previous quarter, CFO Colette Kress said on the company’s earnings call.

The remaining $37 billion came from a segment Nvidia now calls ACIE, which includes AI cloud providers, industrial customers and enterprise markets. Kress said AI cloud revenue more than tripled from a year earlier, as Nvidia helped rapidly expand AI computing capacity across more than 80 data centers with capacities of more than 10 megawatts.

Kress added that spending on AI infrastructure continues to accelerate, and demand for Nvidia’s computing systems remains strong. She also said Nvidia expects to generate $20 billion in CPU revenue this year.

Nvidia said its outlook does not assume any Data Center compute revenue from China, where U.S. export restrictions have limited sales of advanced AI chips.

Investors have closely watched Nvidia’s earnings for signs that spending on AI infrastructure remains strong despite growing questions about how quickly companies will turn those investments into profits.

So far, Nvidia’s results suggest demand continues to outpace expectations, which might be positive for data center providers.

AI Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards. For more information, see CoinDesk’s full AI Policy.

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