QuestionQ82

AI and Data Science

Which architecture—training or inference—requires greater data storage?

  • A Training and inference architecture require the same amount of data storage.
  • B Training architecture requires more data storage.
  • C Inference architecture requires more data storage.
Explanation

Training architecture requires more data storage because it must retain training data and additional learning-state information such as gradients, optimizer state, intermediate values, and often model checkpoints. Inference primarily stores and uses the trained model and its input/output data.

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