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Chip giant and the world’s most valuable company Nvidia also said history benefits in its latest session on Wednesday, as demand for AI computing continues to grow.
“The demand for tokens in the world has increased,” CEO Jensen Huang said in a call with analysts. “I think we’re all seeing this, to the point where our six-year-old GPUs in the cloud are completely consumed and the prices are going up.”
The company reported $68 billion in revenue in the most recent quarter, up 73% from last year, with $62 billion of that revenue coming from the company’s business.
In particular, Nvidia divided the data center revenue into $51 billion in computing revenue (mainly GPUs) and $11 billion in network products like NVLink. The company generated $215 billion in annual revenue.
As in previous episodes, the company did not report any revenue from the chip to China, even though the US government recently lifted the export ban. “Although the small H200 products for Chinese customers have been approved by the US government, they have not yet received any funding, and we do not know if any other products will be allowed in China,” said Colette Kress, the company’s chief financial officer.
“Competitors in China, with the help of recent IPOs, are making progress,” he continued, explaining about Moore Threads’ IPO in December“and has the potential to disrupt the structure of the world’s AI industry over time.”
On the investor call, Huang also talked about the expected investment in OpenAI, which has been around showed $30 billion.
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“We are continuing to work with OpenAI towards a cooperative agreement. We believe we are close,” Huang said. He also described partnerships with Anthropic, Meta, and Elon Musk’s xAI. However, a statement that Nvidia wrote and the US Securities and Exchange Commission on Wednesday emphasized that there is no “guarantee” that will happen.
Huang also expressed concern about the sustainability of tech company’s capex commitmentssaying that he believes that the audit fee will soon bring in money.
“In the new world of AI, count and money. Without computing, there is no way to generate tokens. “Without tokens, there is no way to make money,” Huang said.