NCP-AI practice question 13 of 15

When preparing an NAI deployment using NKP, which Infrastructure OS should be used to support AI compatible GPUs?

Full set: 75 questions
Answer options
A: Rocky Linux 9.5
B: Debian 11
C: Ubuntu 22.04 Correct answer
D: CentOS 8
Correct Answer:
C. Ubuntu 22.04
Explanation

For a Nutanix AI (NAI) deployment that utilizes the Nutanix Kubernetes Platform (NKP), the underlying infrastructure operating system for the Kubernetes nodes is strictly defined. Official Nutanix documentation mandates the use of Ubuntu 22.04 for both the NKP management cluster and the data (worker) clusters. This specific OS version is required to ensure full compatibility with the NAI software stack, the NVIDIA GPU Operator, and other dependencies necessary for running AI/ML workloads on GPUs. Using any other OS would result in an unsupported configuration.

Why Incorrect

A. Rocky Linux 9.5: This operating system is not the specified or supported base image for NKP nodes within a Nutanix AI environment.
B. Debian 11: While it is a Debian-based distribution, the official requirement is specifically for the Ubuntu 22.04 Long-Term Support (LTS) release.
D. CentOS 8: This operating system is not supported for NKP infrastructure nodes. Furthermore, CentOS 8 has reached its end-of-life.

References

1. Nutanix AI Deployment Guide v1.0, Software Prerequisites section, Page 10: "Nutanix Kubernetes Platform (NKP) management cluster and at least one NKP data cluster deployed on Ubuntu 22.04." This document explicitly states the OS requirement for the entire NKP infrastructure supporting NAI.

2. Nutanix Kubernetes Platform User Guide v4.2, Creating a Kubernetes Cluster > Prerequisites section: The guide details that when creating a Kubernetes cluster, you must select a supported OS image. For GPU-enabled clusters and general deployments, Ubuntu 22.04 is the specified image.

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