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With the release of NVIDIA's DGX SuperPOD of A100 GPUs, supercomputers will/are becoming more and more common-place.

What potential deep learning tasks/applications might become more accessible with this large amount of computing? These applications/tasks will require significant computing for either data-extraction, training, etc.


An example of applications requiring large compute would be:

  1. GPT (or other large NLU/NLP model) Training
  2. Conducting Neural Architecture Search (NAS)
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