NCA-GENM Exam Dumps | Explain the role of Tensor Cores and mixed-precision training (e.g., using FP16 or bfloat16) in accelerating

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Question 67/192

Explain the role of Tensor Cores and mixed-precision training (e.g., using FP16 or bfloat16) in accelerating the training of large generative AI models.

A. Tensor Cores perform specialized matrix multiplications optimized for lower-precision data types, enabling faster computation and reduced memory footprint.

B. Mixed-precision training allows using lower precision for forward and backward passes but keeps weights and gradients in higher precision to maintain stability.

C. Tensor Cores are only useful for inference, not training.

D. Mixed-precision training guarantees the same convergence behavior as full-precision training.

E. A and B.

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