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If your computational resources are insufficient, the pre-training time will increase (given the volume of the O365 and GoldG datasets). If only inference is required, there are no constraints on the number of GPUs.
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If your computational resources are insufficient, the pre-training time will increase (given the volume of the O365 and GoldG datasets). If only inference is required, there are no constraints on the number of GPUs.
Thank you for your response! Could you please provide an estimate of the pre-training time using the O365 and GoldG datasets using 2 16GB V100 GPUs, as well as the pre-training time using a dataset with a volume of around 0.1 million?
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Sorry, we haven't used the 16GB V100, so we cannot provide an exact time. However, we reckon it may take several days.
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Sorry, we haven't used the 16GB V100, so we cannot provide an exact time. However, we reckon it may take several days.
Ok, thank you very much!
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