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From 2019: https://heartbeat.fritz.ai/deep-learning-has-a-size-problem-...

> Earlier this year, researchers at NVIDIA announced MegatronLM, a massive transformer model with 8.3 billion parameters (24 times larger than BERT)

> The parameters alone weigh in at just over 33 GB on disk. Training the final model took 512 V100 GPUs running continuously for 9.2 days.

Running this model on a "regular" machine at some useful rate is probably not possible at this time.



Sorry, but I don't see the link between the quote and your sentence.




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