Nvidia no ha querido ser menos que SpaceX o Alphabet en la oleada de grandes operaciones financieras de los gigantes tecnológicos al calor de las inversiones en infraestructuras de inteligencia artificial (IA). Así, el gigante de los chips ha colocado una megaemisión de deuda de 25.000 millones de dólares (unos 21.570 millones de euros), por encima del objetivo de 20.000 millones establecido inicialmente por la empresa, ante la fuerte demanda de los inversores.

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© SeongJoon Cho (via REUTERS)

They make much of the gear that goes into giant data centers. Demand for their products is shifting the balance of tech power.

© I-Hwa Cheng/Agence France-Presse — Getty Images

More than 60 years ago, the chemist Gordon Moore predicted that the number of transistors that could fit on a chip would double every two years. He was right. Computing power increased for decades and costs fell. But many smartphones, computers, and an era of artificial intelligence later, Moore’s Law has reached its limits. That’s where He Tingbo (China, 1969), president of Huawei’s semiconductor business, comes in. She has proposed an alternative law to ensure that chips continue to gain power and efficiency without the need to keep shrinking the transistor.

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