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In the context of developing an AI application using NVIDIA’s NGC containers, how does the...

In the context of developing an AI application using NVIDIA’s NGC containers, how does the use of containerized environments enhance the reproducibility of LLM training and deployment workflows?

A.

Containers automatically optimize the model’s hyperparameters for better performance.

B.

Containers encapsulate dependencies and configurations, ensuring consistent execution across systems.

C.

Containers reduce the model’s memory footprint by compressing the neural network.

D.

Containers enable direct access to GPU hardware without driver installation.

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