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Nvidia revenue doubles on continued AI demand

Chipmaker's $96bn quarter beat forecasts as demand for AI hardware continues to accelerate.

Nvidia revenue doubles on continued AI demand

Nvidia, a leading chipmaker, has reported a staggering increase in sales, with revenue soaring to $96 billion in the second quarter, more than double the amount from the previous year. CEO Jensen Huang has described AI's infrastructure buildout as proceeding at full speed. The company's expectations for revenue in the next quarter are even higher, at $108 billion, surpassing Wall Street's predictions and causing Nvidia shares to rise by approximately 4% in after-hours trading.

The data center division alone brought in $89 billion last quarter, a remarkable 117% increase from a year ago, highlighting the critical dependence of the industry on Nvidia's hardware. Major tech companies such as Amazon, Meta, Google, and Microsoft rely on Nvidia's chips for their AI tools and infrastructure. Financial analysts have hailed the strong results as evidence of Nvidia's continued momentum, with Matt Britzman, a senior equity analyst at Hargreaves Lansdown, calling it "another monster set of results."

The company's financial growth has also elevated its importance in the sector, with Nvidia now providing funding to companies like OpenAI, Anthropic, and SpaceX to support the expensive development of AI infrastructure. As the AI boom continues, Nvidia's processors are instrumental in powering the data centers used to train and run AI models, transforming the company into the world's most valuable firm with a market capitalization exceeding $5 trillion.

While competition is emerging from customers designing their own processors and cheaper suppliers in China, the latest financial figures suggest that these challenges remain limited for now. With around 40% of the US stock market concentrated in ten companies heavily invested in AI, Nvidia's success has far-reaching implications beyond Silicon Valley.

Written by urgent.news from BBC Business's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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