HP Exam HPE2-N69 Topic 3 Question 31 Discussion

Actual exam question for HP's HPE2-N69 exam

Question #: 31
Topic #: 3

[All HPE2-N69 Questions]

A company has recently expanded its ml engineering resources from 5 CPUs 1012 GPUs.

What challenge is likely to continue to stand in the way of accelerating deep learning (DU training?

AA lack of understanding of the DL model architecture by the NL engineering team

BThe complexity of adjusting model code to distribute the training process across multiple GPUs

CA lack of adequate power and cooling for the GPU-enabled servers

DThe requirement that the ML team must wait for the IT team to initiate each new training process

Show Suggested Answer

Suggested Answer: B

The complexity of adjusting model code to distribute the training process across multiple GPUs. Deep learning (DL) training requires a large amount of computing power and can be accelerated by using multiple GPUs. However, this requires adjusting the model code to distribute the training process across the GPUs, which can be a complex and time-consuming process. Thus, the complexity of adjusting the model code is likely to continue to be a challenge in accelerating DL training.

by Lucina at Apr 24, 2024, 05:32 PM

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8 months ago

I think the challenge could be B) The complexity of adjusting model code to distribute the training process across multiple GPUs.

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