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ChatGPT, for example, was trained on more than 20,000 GPUs, according toTrendForce.

The overall effect was to achieve a much faster time.

Oak Ridge National Laboratory

TechRadar Pro asked the researchers for timings, but they have not responded at the time of writing.

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