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Exam NCP-AII Topic 1 Question 235 Discussion

Actual exam question for NVIDIA's NCP-AII exam
Question #: 235
Topic #: 1
Consider the following Dockerfile snippet:

This Dockerfile is used to build a deep learning application. After building and running a container from this image, you observe that the application is not detecting the GPU. You have verified that the NVIDIA Container Toolkit is installed and configured correctly on the host. What is the most likely reason for this issue?

Suggested Answer: C Vote an answer

The 'docker run' command must include the =gpus all' (or equivalent) flag to explicitly request GPU resources for the container (C). The base image 'nvidia/cuda:ll .6.2-base-ubuntu20.04' provides the CUDA runtime, but the NVIDIA Container Toolkit on the host handles the GPU device mapping. The application code (B) doesn't need to explicitly request GPUs; the CUDA runtime will handle that. 'nvidia-pyindex' (D) is related to package management, not GPU detection. The Dockerfile includes a specific CUDA version that mitigates version differences (E). The base image does not include the Container Toolkit, which is installed on the HOST.

by Kirk at Dec 25, 2025, 05:03 AM

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