​Nvidia makes the case for GPU accelerators

The rebirth of artificial intelligence over the past five years has led to rapid progress in challenging areas such as computer vision and speech recognition. As computers begin to learn about the world around them, this is in turn opening up new possibilities in fields such as healthcare, transportation and robotics.

“Machine learning is one of the most important computer revolutions ever,” Nvidia CEO Jensen Huang said at last week’s annual GPU Technology Conference, “Computers are learning by themselves.”

The emergence of deep learning is the result of three factors: smarter algorithms, lots of data, and the use of GPUs to speed up training. The world’s largest cloud companies are increasingly relying on GPUs to develop their own models and…

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