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Exam NCA-GENM Topic 1 Question 37 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 37
Topic #: 1
Which of the following techniques are MOST effective for improving the energy efficiency of a large-scale Generative A1 model during inference, while minimizing performance degradation?

Suggested Answer: A,B,D Vote an answer

Model quantization reduces the memory footprint and computational cost by representing weights with fewer bits. Knowledge distillation trains a smaller, faster model to mimic the behavior of a larger model. Pruning removes redundant connections, reducing the number of computations. Gradient accumulation is for training, not inference. Increasing batch size may improve throughput but not necessarily energy efficiency per sample and might even decrease it due to increased memory usage.

by Yehudi at Dec 05, 2025, 01:52 AM

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Here are all the actual test exam dumps for IT exams. Most people prepare for the actual exams with our test dumps to pass their exams. So it's critical to choose and actual test pdf to succeed.

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