Exam NCP-AII Topic 1 Question 124 Discussion

Actual exam question for NVIDIA's NCP-AII exam
Question #: 124
Topic #: 1

You encounter a situation where a container running with GPU support is experiencing significant performance degradation compared to running the same application directly on the host. You have already verified that the NVIDIA drivers are correctly installed and the NVIDIA Container Toolkit is properly configured. Which of the following could be contributing factors to this performance difference?
(Select all that apply)

A. The container is using a significantly older version of the CUDA runtime compared to the host. B. CPU pinning or NIJMA affinity is not properly configured for the container, leading to inefficient memory access. C. The '-ipc=host' flag is not used when running the container, causing inter-process communication overhead. D. The kernel version within the container is significantly different from the host kernel, leading to driver compatibility issues. E. Insufficient bandwidth between CPU and GPU

Suggested Answer: A,B Vote an answer

Using an older CUDA runtime within the container (A) can lead to performance degradation due to missing optimizations or compatibility issues with the application. Improper CPU pinning and NUMA affinity (B) can cause the container to access memory inefficiently, especially in multi-socket systems. '--ipc=host' (C) can improve performance in some cases by sharing the host's IPC namespace, but it's not always necessary and can have security implications. Kernel version differences (D) are generally handled by the NVIDIA Container Toolkit, which ensures compatibility. Insufficient bandwidth between CPU and GPU (E) might be caused by hardware issue.

by Truda at Aug 31, 2025, 06:47 PM

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