- Traditionally, the company’s processors have been mostly used to power the latest gaming graphics, but the chips have become popular to run AI software in the data center and autonomous vehicles.
- “Deep learning on Nvidia GPUs [graphics processing units], a breakthrough approach to AI, is helping to tackle challenges such as self-driving cars, early cancer detection and weather prediction,” said Nvidia cofounder and CEO Jen-Hsun Huang in a statement.
- And its increasing faster over time: Last quarter, reported in November, Nvidia’s data center business showed 193% growth in year-over-year revenue.
- Tech giants like Google buy lots of Nvidia chips, but the company is starting to use more of its own custom chip, called the Tensor Processing Unit, in its data center infrastructure.
- Huang pointed out that the company’s data center business relies on other areas outside of deep learning applications, including high-performance computing and running graphics-heavy software from the cloud.
Nvidia continued to see demand for its graphics processors in the emerging world of artificial intelligence in its fourth quarter earnings reported Thursday.
@Forbes: Nvidia beats earnings estimates as its artificial intelligence business keeps on booming
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