NCP-AII Exam Dumps | An engineer wants to verify that their NVIDIA GPU is accessible inside a Docker container for running

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Question 35/86

An engineer wants to verify that their NVIDIA GPU is accessible inside a Docker container for running deep learning workloads. They have installed the NVIDIA Container Toolkit on a machine with working NVIDIA drivers. Which command demonstrates the correct way to run a container that can access all available GPUs?

A. docker run --rm --gpus all nvidia/cuda:12.4.0-base-ubuntu22.04 nvidia-smi

B. docker run --rm --runtime=docker nvidia/cuda nvidia-smi

C. docker run --rm it ubuntu:22.04 nvidia-smi

D. docker run --rm nvidia/cuda:12.4.0-base-ubuntu22.04 nvidia-smi

Correct Answer: A

The --gpus all option exposes all available host GPUs to the Docker container through the NVIDIA Container Toolkit. Running nvidia-smi inside the CUDA container verifies that the container can see and access the GPUs correctly.

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