Refer to the exhibit.

Comprehensive and Detailed Explanation From Exact Extract of Nutanix Artificial Intelligence documents knowledge without any external URL or links:

In the Nutanix Enterprise AI (NAI) endpoint lifecycle, the Pending status has a specific definition related to infrastructure resource availability. According to the endpoint management documentation:

"Pending: The system is waiting for the resources required to create the endpoint. For example, if the required number of GPUs are not available, Nutanix Enterprise AI maintains a Pending status until the GPUs become available."

The exhibit shows the administrator explicitly requested1 NVIDIA-H100-NVLGPU for the instance. If the underlying Kubernetes cluster does not have a free H100 GPU (e.g., all H100s are currently occupied by other active endpoints or training jobs), the scheduler cannot place the pod, and the status will remain "Pending" indefinitely until a GPU is freed.

In contrast:

Unauthorized NGC Keystypically result in aFailedstatus due to image pull errors (ImagePullBackOff) or authentication failures, not a resource-wait "Pending" state.

Permissions issueswould generally prevent the creation wizard from completing or result in an immediate 403 Forbidden error upon submission.

Wrong GPU selection(compatibility) is unlikely here as the "gemma-2-2b-it" is a small model that can easily run on the powerful H100; the issue is simply that the requested hardware is currently fully utilized.