Nutanix AI (NAI), now known as Nutanix GPT-in-a-Box, deploys its core services, including the user interface, API server, and controllers, into a dedicated Kubernetes namespace called nai-system. When troubleshooting deployment issues, such as the UI failing to launch, the primary step is to inspect the status of the pods within this namespace. The command kubectl get pods -n nai-system allows an administrator to list all pods in that namespace and verify if they are in a Running state, which is crucial for diagnosing the root cause of the UI failure.

B. kubectl get pods -n knative-serving: This namespace contains pods for Knative, a dependency for model serving, not the core NAI UI and system components.

C. kubectl get pods -n kube-system: This namespace is reserved for essential Kubernetes cluster components and does not host NAI application pods.

D. kubectl get pods -n ntnx-base: This namespace is used for foundational Nutanix services that integrate with Kubernetes, such as the CSI driver, not the NAI application itself.

1. Nutanix GPT-in-a-Box Deployment and User Guide v2.0, Chapter: "Deploying GPT-in-a-Box", Section: "Verifying the Deployment". This section explicitly instructs the administrator to run kubectl get pods -n nai-system to check the status of all deployed pods after installation.

2. Nutanix University, Nutanix AI (NAI) Administration Courseware, Module: "NAI Architecture and Deployment", Topic: "Verifying NAI Installation". The course material identifies nai-system as the primary namespace for core NAI services and lists the verification command as a key post-installation step.